From 2a6ccfc23db493c26653a742a9896f07dc1a0174 Mon Sep 17 00:00:00 2001
From: onur <onur@rpi.local>
Date: Thu, 30 Jul 2026 23:26:03 +0300
Subject: [PATCH] Initial Galileo receiver and SignalSim integration

---
 .gitignore                                    |  16 +
 README.md                                     | 126 ++++
 configs/acquisition_example.yaml              |  31 +
 configs/e1_default.yaml                       |  32 +
 configs/signalsim_detected_format.yaml        |  44 ++
 configs/signalsim_validation.yaml             |  41 ++
 configs/tracking_example.yaml                 |  22 +
 data/galileo_e1_primary_codes/README.md       |   6 +
 data/galileo_e1_secondary_codes/README.md     |   4 +
 docs/algorithms.md                            | 119 ++++
 docs/configuration.md                         |  28 +
 docs/development_phases.md                    |  50 ++
 docs/fixed_point_plan.md                      |  45 ++
 docs/rtl_mapping.md                           | 104 +++
 docs/signalsim_integration.md                 | 241 +++++++
 examples/generate_e1_signal.py                |  16 +
 examples/run_acquisition.py                   |  16 +
 examples/run_complete_receiver.py             |   5 +
 examples/run_tracking.py                      |  19 +
 pyproject.toml                                |  25 +
 reports/signalsim_acquisition_report.json     | 103 +++
 reports/signalsim_acquisition_report.md       |   8 +
 reports/signalsim_bit_generation_report.md    |  34 +
 reports/signalsim_e1b_symbol_comparison.json  |  27 +
 .../acquisition_map_e1b.png                   | Bin 0 -> 57085 bytes
 .../acquisition_map_e1c.png                   | Bin 0 -> 57173 bytes
 .../acquisition_peak_neighborhood_e1b.png     | Bin 0 -> 51698 bytes
 .../acquisition_peak_neighborhood_e1c.png     | Bin 0 -> 52195 bytes
 .../acquisition_profiles_e1b.png              | Bin 0 -> 40298 bytes
 .../acquisition_profiles_e1c.png              | Bin 0 -> 40684 bytes
 .../prompt_constellation_e1b.png              | Bin 0 -> 62070 bytes
 .../prompt_constellation_e1c.png              | Bin 0 -> 45747 bytes
 .../signalsim_acquisition_input_iq8.json      |  40 ++
 .../signalsim_e1b_symbol_comparison.json      |  27 +
 .../signalsim_validation_report.json          | 267 ++++++++
 .../signalsim_validation_report.md            |  17 +
 reports/signalsim_validation/tracking_e1b.png | Bin 0 -> 125680 bytes
 reports/signalsim_validation/tracking_e1c.png | Bin 0 -> 130288 bytes
 .../acquisition_map_e1b.png                   | Bin 0 -> 57085 bytes
 .../acquisition_map_e1c.png                   | Bin 0 -> 57173 bytes
 .../acquisition_peak_neighborhood_e1b.png     | Bin 0 -> 51698 bytes
 .../acquisition_peak_neighborhood_e1c.png     | Bin 0 -> 52195 bytes
 .../acquisition_profiles_e1b.png              | Bin 0 -> 40298 bytes
 .../acquisition_profiles_e1c.png              | Bin 0 -> 40684 bytes
 .../prompt_constellation_e1b.png              | Bin 0 -> 62070 bytes
 .../prompt_constellation_e1c.png              | Bin 0 -> 45747 bytes
 .../signalsim_acquisition_input_iq8.json      |  40 ++
 .../signalsim_e1b_symbol_comparison.json      |  27 +
 .../signalsim_validation_report.json          | 545 ++++++++++++++++
 .../signalsim_validation_report.md            |  18 +
 .../tracking_e1b.png                          | Bin 0 -> 125680 bytes
 .../tracking_e1c.png                          | Bin 0 -> 130288 bytes
 src/galileo_rx/__init__.py                    |   8 +
 src/galileo_rx/acquisition/__init__.py        |   7 +
 .../acquisition/acquisition_manager.py        |  67 ++
 src/galileo_rx/acquisition/detector.py        |  21 +
 src/galileo_rx/acquisition/fft_pcps.py        | 138 ++++
 src/galileo_rx/acquisition/metrics.py         |  41 ++
 src/galileo_rx/cli.py                         | 189 ++++++
 src/galileo_rx/config.py                      | 177 ++++++
 src/galileo_rx/diagnostics/__init__.py        |   2 +
 src/galileo_rx/diagnostics/plots.py           |  96 +++
 src/galileo_rx/diagnostics/reports.py         |  32 +
 src/galileo_rx/fixed_point/__init__.py        |   7 +
 .../fixed_point/bittrue_pipeline.py           |  65 ++
 .../fixed_point/fixed_acquisition.py          |  69 ++
 .../fixed_point/fixed_correlator.py           |  62 ++
 src/galileo_rx/fixed_point/fixed_fft.py       | 100 +++
 .../fixed_point/fixed_loop_filter.py          |  59 ++
 src/galileo_rx/fixed_point/fixed_mixer.py     |  48 ++
 src/galileo_rx/fixed_point/fixed_nco.py       |  44 ++
 src/galileo_rx/fixed_point/formats.py         |  62 ++
 src/galileo_rx/fixed_point/quantizer.py       |  71 +++
 src/galileo_rx/frontend/__init__.py           |   7 +
 src/galileo_rx/frontend/agc.py                |  24 +
 src/galileo_rx/frontend/dc_blocker.py         |  25 +
 src/galileo_rx/frontend/decimator.py          |  29 +
 src/galileo_rx/frontend/frontend_chain.py     |  42 ++
 src/galileo_rx/frontend/mixer.py              |  66 ++
 src/galileo_rx/io/__init__.py                 |  14 +
 src/galileo_rx/io/sample_reader.py            |  35 ++
 src/galileo_rx/io/sample_writer.py            |  13 +
 src/galileo_rx/io/signalsim_reader.py         | 154 +++++
 src/galileo_rx/rtl_model/__init__.py          |   6 +
 src/galileo_rx/rtl_model/architecture.md      |  71 +++
 src/galileo_rx/rtl_model/cycle_model.py       |  74 +++
 src/galileo_rx/rtl_model/interfaces.py        |  34 +
 src/galileo_rx/rtl_model/vector_export.py     |  76 +++
 src/galileo_rx/signal_profiles.py             |  58 ++
 src/galileo_rx/signals/__init__.py            |   7 +
 src/galileo_rx/signals/boc.py                 |  38 ++
 src/galileo_rx/signals/code_provider.py       |  82 +++
 src/galileo_rx/signals/galileo_e1.py          |  31 +
 src/galileo_rx/signals/signal_generator.py    | 182 ++++++
 src/galileo_rx/signals/signalsim_codes.py     | 121 ++++
 src/galileo_rx/tracking/__init__.py           |   7 +
 src/galileo_rx/tracking/cn0_estimator.py      |  31 +
 src/galileo_rx/tracking/correlator.py         |  75 +++
 src/galileo_rx/tracking/discriminators.py     |  51 ++
 src/galileo_rx/tracking/lock_detector.py      |  39 ++
 src/galileo_rx/tracking/loop_filters.py       |  70 +++
 src/galileo_rx/tracking/nco.py                |  33 +
 src/galileo_rx/tracking/symbol_sync.py        | 133 ++++
 src/galileo_rx/tracking/tracking_channel.py   | 174 ++++++
 src/galileo_rx/tracking/tracking_manager.py   |  30 +
 src/galileo_rx/types.py                       | 102 +++
 src/galileo_rx/verification/__init__.py       |   1 +
 .../verification/signalsim_validation.py      | 591 ++++++++++++++++++
 tests/conftest.py                             |  18 +
 tests/integration/test_acquisition.py         |  86 +++
 .../test_detection_and_lock_loss.py           |  33 +
 tests/integration/test_fixed_acquisition.py   |  33 +
 tests/integration/test_long_integration.py    |  57 ++
 .../integration/test_signalsim_acquisition.py |  25 +
 .../test_signalsim_code_conventions.py        |  47 ++
 .../integration/test_signalsim_e1b_symbols.py |  15 +
 .../test_signalsim_e1c_secondary_code.py      |  13 +
 .../test_signalsim_full_vectors.py            |  19 +
 tests/integration/test_signalsim_reader.py    |  53 ++
 tests/integration/test_signalsim_tracking.py  |  15 +
 tests/integration/test_tracking.py            | 103 +++
 tests/regression/test_complete_receiver.py    |  42 ++
 tests/unit/test_acquisition_metrics.py        |  27 +
 tests/unit/test_acquisition_parallelism.py    |  18 +
 tests/unit/test_config.py                     |  20 +
 tests/unit/test_correlator.py                 |  42 ++
 tests/unit/test_discriminators.py             |  32 +
 tests/unit/test_fixed_fft.py                  |  31 +
 tests/unit/test_fixed_point.py                |  59 ++
 tests/unit/test_frontend.py                   |  32 +
 tests/unit/test_loop_filters.py               |  23 +
 tests/unit/test_rtl_model.py                  |  16 +
 tests/unit/test_signals.py                    |  58 ++
 tests/unit/test_symbol_sync.py                |  31 +
 tests/unit/test_vector_export.py              |  26 +
 tools/build_signalsim.sh                      |  50 ++
 tools/generate_signalsim_vectors.py           |  97 +++
 .../signalsim/high_cn0_single_prn/config.json |  68 ++
 .../high_cn0_single_prn_iq8.bin.tag           |   8 +
 .../high_cn0_single_prn/metadata.yaml         |  29 +
 verification/vectors/signalsim/manifest.yaml  |  58 ++
 .../multiple_prns/generated_config.json       | 116 ++++
 .../signalsim/multiple_prns/generation.log    |  62 ++
 .../signalsim/multiple_prns/metadata.yaml     |  37 ++
 .../multiple_prns/multiple_prns_iq8.bin.tag   |   8 +
 .../negative_doppler/generated_config.json    | 120 ++++
 .../signalsim/negative_doppler/generation.log | 145 +++++
 .../signalsim/negative_doppler/metadata.yaml  |  29 +
 .../negative_doppler_iq8.bin.tag              |   8 +
 .../generated_config.json                     | 120 ++++
 .../nominal_cn0_single_prn/generation.log     |  80 +++
 .../nominal_cn0_single_prn/metadata.yaml      |  29 +
 .../nominal_cn0_single_prn_iq8.bin.tag        |   8 +
 153 files changed, 8080 insertions(+)
 create mode 100644 .gitignore
 create mode 100644 README.md
 create mode 100644 configs/acquisition_example.yaml
 create mode 100644 configs/e1_default.yaml
 create mode 100644 configs/signalsim_detected_format.yaml
 create mode 100644 configs/signalsim_validation.yaml
 create mode 100644 configs/tracking_example.yaml
 create mode 100644 data/galileo_e1_primary_codes/README.md
 create mode 100644 data/galileo_e1_secondary_codes/README.md
 create mode 100644 docs/algorithms.md
 create mode 100644 docs/configuration.md
 create mode 100644 docs/development_phases.md
 create mode 100644 docs/fixed_point_plan.md
 create mode 100644 docs/rtl_mapping.md
 create mode 100644 docs/signalsim_integration.md
 create mode 100644 examples/generate_e1_signal.py
 create mode 100644 examples/run_acquisition.py
 create mode 100644 examples/run_complete_receiver.py
 create mode 100644 examples/run_tracking.py
 create mode 100644 pyproject.toml
 create mode 100644 reports/signalsim_acquisition_report.json
 create mode 100644 reports/signalsim_acquisition_report.md
 create mode 100644 reports/signalsim_bit_generation_report.md
 create mode 100644 reports/signalsim_e1b_symbol_comparison.json
 create mode 100644 reports/signalsim_validation/acquisition_map_e1b.png
 create mode 100644 reports/signalsim_validation/acquisition_map_e1c.png
 create mode 100644 reports/signalsim_validation/acquisition_peak_neighborhood_e1b.png
 create mode 100644 reports/signalsim_validation/acquisition_peak_neighborhood_e1c.png
 create mode 100644 reports/signalsim_validation/acquisition_profiles_e1b.png
 create mode 100644 reports/signalsim_validation/acquisition_profiles_e1c.png
 create mode 100644 reports/signalsim_validation/prompt_constellation_e1b.png
 create mode 100644 reports/signalsim_validation/prompt_constellation_e1c.png
 create mode 100644 reports/signalsim_validation/rtl_vectors/signalsim_acquisition_input_iq8.json
 create mode 100644 reports/signalsim_validation/signalsim_e1b_symbol_comparison.json
 create mode 100644 reports/signalsim_validation/signalsim_validation_report.json
 create mode 100644 reports/signalsim_validation/signalsim_validation_report.md
 create mode 100644 reports/signalsim_validation/tracking_e1b.png
 create mode 100644 reports/signalsim_validation/tracking_e1c.png
 create mode 100644 reports/signalsim_validation_full/acquisition_map_e1b.png
 create mode 100644 reports/signalsim_validation_full/acquisition_map_e1c.png
 create mode 100644 reports/signalsim_validation_full/acquisition_peak_neighborhood_e1b.png
 create mode 100644 reports/signalsim_validation_full/acquisition_peak_neighborhood_e1c.png
 create mode 100644 reports/signalsim_validation_full/acquisition_profiles_e1b.png
 create mode 100644 reports/signalsim_validation_full/acquisition_profiles_e1c.png
 create mode 100644 reports/signalsim_validation_full/prompt_constellation_e1b.png
 create mode 100644 reports/signalsim_validation_full/prompt_constellation_e1c.png
 create mode 100644 reports/signalsim_validation_full/rtl_vectors/signalsim_acquisition_input_iq8.json
 create mode 100644 reports/signalsim_validation_full/signalsim_e1b_symbol_comparison.json
 create mode 100644 reports/signalsim_validation_full/signalsim_validation_report.json
 create mode 100644 reports/signalsim_validation_full/signalsim_validation_report.md
 create mode 100644 reports/signalsim_validation_full/tracking_e1b.png
 create mode 100644 reports/signalsim_validation_full/tracking_e1c.png
 create mode 100644 src/galileo_rx/__init__.py
 create mode 100644 src/galileo_rx/acquisition/__init__.py
 create mode 100644 src/galileo_rx/acquisition/acquisition_manager.py
 create mode 100644 src/galileo_rx/acquisition/detector.py
 create mode 100644 src/galileo_rx/acquisition/fft_pcps.py
 create mode 100644 src/galileo_rx/acquisition/metrics.py
 create mode 100644 src/galileo_rx/cli.py
 create mode 100644 src/galileo_rx/config.py
 create mode 100644 src/galileo_rx/diagnostics/__init__.py
 create mode 100644 src/galileo_rx/diagnostics/plots.py
 create mode 100644 src/galileo_rx/diagnostics/reports.py
 create mode 100644 src/galileo_rx/fixed_point/__init__.py
 create mode 100644 src/galileo_rx/fixed_point/bittrue_pipeline.py
 create mode 100644 src/galileo_rx/fixed_point/fixed_acquisition.py
 create mode 100644 src/galileo_rx/fixed_point/fixed_correlator.py
 create mode 100644 src/galileo_rx/fixed_point/fixed_fft.py
 create mode 100644 src/galileo_rx/fixed_point/fixed_loop_filter.py
 create mode 100644 src/galileo_rx/fixed_point/fixed_mixer.py
 create mode 100644 src/galileo_rx/fixed_point/fixed_nco.py
 create mode 100644 src/galileo_rx/fixed_point/formats.py
 create mode 100644 src/galileo_rx/fixed_point/quantizer.py
 create mode 100644 src/galileo_rx/frontend/__init__.py
 create mode 100644 src/galileo_rx/frontend/agc.py
 create mode 100644 src/galileo_rx/frontend/dc_blocker.py
 create mode 100644 src/galileo_rx/frontend/decimator.py
 create mode 100644 src/galileo_rx/frontend/frontend_chain.py
 create mode 100644 src/galileo_rx/frontend/mixer.py
 create mode 100644 src/galileo_rx/io/__init__.py
 create mode 100644 src/galileo_rx/io/sample_reader.py
 create mode 100644 src/galileo_rx/io/sample_writer.py
 create mode 100644 src/galileo_rx/io/signalsim_reader.py
 create mode 100644 src/galileo_rx/rtl_model/__init__.py
 create mode 100644 src/galileo_rx/rtl_model/architecture.md
 create mode 100644 src/galileo_rx/rtl_model/cycle_model.py
 create mode 100644 src/galileo_rx/rtl_model/interfaces.py
 create mode 100644 src/galileo_rx/rtl_model/vector_export.py
 create mode 100644 src/galileo_rx/signal_profiles.py
 create mode 100644 src/galileo_rx/signals/__init__.py
 create mode 100644 src/galileo_rx/signals/boc.py
 create mode 100644 src/galileo_rx/signals/code_provider.py
 create mode 100644 src/galileo_rx/signals/galileo_e1.py
 create mode 100644 src/galileo_rx/signals/signal_generator.py
 create mode 100644 src/galileo_rx/signals/signalsim_codes.py
 create mode 100644 src/galileo_rx/tracking/__init__.py
 create mode 100644 src/galileo_rx/tracking/cn0_estimator.py
 create mode 100644 src/galileo_rx/tracking/correlator.py
 create mode 100644 src/galileo_rx/tracking/discriminators.py
 create mode 100644 src/galileo_rx/tracking/lock_detector.py
 create mode 100644 src/galileo_rx/tracking/loop_filters.py
 create mode 100644 src/galileo_rx/tracking/nco.py
 create mode 100644 src/galileo_rx/tracking/symbol_sync.py
 create mode 100644 src/galileo_rx/tracking/tracking_channel.py
 create mode 100644 src/galileo_rx/tracking/tracking_manager.py
 create mode 100644 src/galileo_rx/types.py
 create mode 100644 src/galileo_rx/verification/__init__.py
 create mode 100644 src/galileo_rx/verification/signalsim_validation.py
 create mode 100644 tests/conftest.py
 create mode 100644 tests/integration/test_acquisition.py
 create mode 100644 tests/integration/test_detection_and_lock_loss.py
 create mode 100644 tests/integration/test_fixed_acquisition.py
 create mode 100644 tests/integration/test_long_integration.py
 create mode 100644 tests/integration/test_signalsim_acquisition.py
 create mode 100644 tests/integration/test_signalsim_code_conventions.py
 create mode 100644 tests/integration/test_signalsim_e1b_symbols.py
 create mode 100644 tests/integration/test_signalsim_e1c_secondary_code.py
 create mode 100644 tests/integration/test_signalsim_full_vectors.py
 create mode 100644 tests/integration/test_signalsim_reader.py
 create mode 100644 tests/integration/test_signalsim_tracking.py
 create mode 100644 tests/integration/test_tracking.py
 create mode 100644 tests/regression/test_complete_receiver.py
 create mode 100644 tests/unit/test_acquisition_metrics.py
 create mode 100644 tests/unit/test_acquisition_parallelism.py
 create mode 100644 tests/unit/test_config.py
 create mode 100644 tests/unit/test_correlator.py
 create mode 100644 tests/unit/test_discriminators.py
 create mode 100644 tests/unit/test_fixed_fft.py
 create mode 100644 tests/unit/test_fixed_point.py
 create mode 100644 tests/unit/test_frontend.py
 create mode 100644 tests/unit/test_loop_filters.py
 create mode 100644 tests/unit/test_rtl_model.py
 create mode 100644 tests/unit/test_signals.py
 create mode 100644 tests/unit/test_symbol_sync.py
 create mode 100644 tests/unit/test_vector_export.py
 create mode 100755 tools/build_signalsim.sh
 create mode 100755 tools/generate_signalsim_vectors.py
 create mode 100644 verification/vectors/signalsim/high_cn0_single_prn/config.json
 create mode 100644 verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin.tag
 create mode 100644 verification/vectors/signalsim/high_cn0_single_prn/metadata.yaml
 create mode 100644 verification/vectors/signalsim/manifest.yaml
 create mode 100644 verification/vectors/signalsim/multiple_prns/generated_config.json
 create mode 100644 verification/vectors/signalsim/multiple_prns/generation.log
 create mode 100644 verification/vectors/signalsim/multiple_prns/metadata.yaml
 create mode 100644 verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin.tag
 create mode 100644 verification/vectors/signalsim/negative_doppler/generated_config.json
 create mode 100644 verification/vectors/signalsim/negative_doppler/generation.log
 create mode 100644 verification/vectors/signalsim/negative_doppler/metadata.yaml
 create mode 100644 verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin.tag
 create mode 100644 verification/vectors/signalsim/nominal_cn0_single_prn/generated_config.json
 create mode 100644 verification/vectors/signalsim/nominal_cn0_single_prn/generation.log
 create mode 100644 verification/vectors/signalsim/nominal_cn0_single_prn/metadata.yaml
 create mode 100644 verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin.tag

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..3bbd880
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,16 @@
+__pycache__/
+*.py[cod]
+*.egg-info/
+.pytest_cache/
+.coverage
+htmlcov/
+build/
+*.bin
+*.csv
+*.npz
+*.hex
+e1_synthetic.c128
+
+# External simulator checkout discovered locally; rebuild/integration scripts
+# consume it by path, but it is maintained as a separate Git repository.
+/signalsim/
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..a06f635
--- /dev/null
+++ b/README.md
@@ -0,0 +1,126 @@
+# Galileo receiver baseband model
+
+This repository is a modular Python reference model for a Galileo receiver
+baseband and a starting point for bit-true/RTL verification. It currently
+implements E1B data and E1C pilot processing with a BOC(1,1) local replica,
+streaming real-IF or complex-IQ front ends, FFT PCPS acquisition, independent
+tracking channels, fixed-point boundary models, and hardware sizing models.
+The floating reference uses `numpy.float64`/`numpy.complex128` throughout;
+single-precision formats are accepted only when explicitly reading legacy files.
+
+The repository intentionally contains **no fabricated Galileo PRN sequences**.
+`SyntheticCodeProvider` creates deterministic non-ICD codes for closed-loop
+verification. These codes cannot receive a live Galileo signal. Validated
+official tables can be installed under `data/` and loaded through
+`FileCodeProvider` without changing acquisition or tracking APIs.
+
+An external `globsky/SignalSim` checkout is now validated as a second code and
+sample source. `SignalSimCodeProvider` parses that checkout at run time without
+copying its tables. The installed commit generates combined E1B/E1C BOC(1,1)
+complex IQ; both acquisition and tracking pass on its IQ8 output. See the
+[measured SignalSim integration report](docs/signalsim_integration.md).
+
+## Status and limitations
+
+- E1 profile: 1.023 Mcps, 4092 chips, 4 ms, 1575.42 MHz.
+- BOC(1,1) is implemented; CBOC and unambiguous BOC are API extension points.
+- E1B bit-transition hypotheses and E1C secondary wipeoff/search are available
+  for acquisition. E1C tracking supports known-phase wipeoff.
+- The code-table provider, not the DSP engine, determines whether codes are
+  synthetic or official.
+- The floating-point model is executable. The fixed PCPS model is bit-true at
+  I/O, FFT output, product, power, and accumulator boundaries; an FFT
+  vendor/butterfly schedule must be selected before claiming bit identity with
+  a particular RTL FFT core.
+- Channel impairments include Doppler rate, sampling-clock offset, carrier
+  offset, AWGN, clipping, and quantization. Multipath, jerk, oscillator phase
+  noise, and interference are future channel-model plug-ins.
+- Combined E1B/E1C tracking is represented by separate manager channels; a
+  weighted combining policy is intentionally not assumed.
+
+## Install and test
+
+Python 3.11 or newer is required.
+
+```bash
+python -m pip install -e '.[test]'
+python -m pytest
+```
+
+All automated tests use deterministic seeds and run headlessly. Plots import
+Matplotlib only when explicitly requested.
+
+## Configuration and CLI
+
+YAML keys map to strict dataclasses in `galileo_rx.config`; unknown keys and
+unsafe long integrations raise descriptive errors. Physical quantities carry
+unit suffixes. See [configuration details](docs/configuration.md).
+
+```bash
+python -m galileo_rx.cli generate --config configs/acquisition_example.yaml --output samples.bin
+python -m galileo_rx.cli acquire --config configs/acquisition_example.yaml --input samples.bin --output acquisition.json
+python -m galileo_rx.cli track --config configs/tracking_example.yaml --input samples.bin --acquisition-result acquisition.json --output tracking.csv
+python -m galileo_rx.cli run --config configs/acquisition_example.yaml --input samples.bin
+python -m galileo_rx.cli compare-fixed --config configs/acquisition_example.yaml --input samples.bin
+python -m galileo_rx.cli validate-signalsim --signalsim-path signalsim/SignalSim --config configs/signalsim_validation.yaml --output-dir reports/signalsim_validation
+```
+
+The CLI uses synthetic codes by design. Replace the provider with
+`FileCodeProvider` after installing independently validated tables for live
+signal work.
+
+`validate-signalsim` is the exception: it explicitly uses the detected external
+SignalSim table and IQ conventions and writes quantitative JSON/Markdown/plot
+artifacts. Its quick regression is:
+
+```bash
+MPLBACKEND=Agg pytest -m signalsim -v
+```
+
+Runnable source examples are in `examples/`:
+
+```bash
+python examples/generate_e1_signal.py
+python examples/run_acquisition.py
+python examples/run_tracking.py
+python examples/run_complete_receiver.py
+```
+
+## Architecture
+
+The generic acquisition and tracking engines depend on `SignalProfile` and
+`CodeProvider`, not E1 constants. Adding E5a/E5b therefore means defining a
+profile, modulation replica, and validated code provider; engine interfaces do
+not change.
+
+```text
+sample source -> streaming front end -> sample buffer -> PCPS acquisition
+                                            |                 |
+                                            +---- tracking manager
+                                                  +-- E1B channel
+                                                  +-- E1C channel
+
+float blocks <-> fixed block boundaries <-> cycle transactions <-> RTL
+```
+
+The floating algorithms and equations are in [algorithms.md](docs/algorithms.md),
+fixed-point assumptions and starting widths in
+[fixed_point_plan.md](docs/fixed_point_plan.md), and the two acquisition plus two
+tracking hardware options in [rtl_mapping.md](docs/rtl_mapping.md). The
+module-level contract is duplicated close to the code in
+`src/galileo_rx/rtl_model/architecture.md`.
+
+Exact phase-gate test and example commands are recorded in
+[development_phases.md](docs/development_phases.md).
+
+## Phase completion record
+
+1. Profiles, typed configuration, code providers, BOC, generator, and I/O.
+2. Streaming front end, FFT PCPS, detector metrics, long integration, plots.
+3. Stateful EPL/VEVL tracking, FLL/PLL/DLL, locks, C/N0.
+4. Multi-channel manager and separate E1B/E1C handling.
+5. Fixed formats, NCO, mixer/correlator, PCPS boundary model, comparison/sweep.
+6. Cycle transaction types, scheduler/resource equations, RTL documentation.
+
+Assumptions and unresolved implementation choices are called out in the linked
+documents rather than hidden in constants.
diff --git a/configs/acquisition_example.yaml b/configs/acquisition_example.yaml
new file mode 100644
index 0000000..ef94b06
--- /dev/null
+++ b/configs/acquisition_example.yaml
@@ -0,0 +1,31 @@
+signal_profile: GALILEO_E1
+component: E1C
+prns: [1, 2, 3]
+rf:
+  sample_format: complex128
+  input_is_real_if: false
+  sampling_frequency_hz: 4092000.0
+  intermediate_frequency_hz: 0.0
+  sample_bit_width: 8
+  sample_endianness: little
+acquisition:
+  doppler_min_hz: -5000.0
+  doppler_max_hz: 5000.0
+  doppler_step_hz: 250.0
+  coherent_integration_ms: 4.0
+  noncoherent_accumulations: 2
+  detection_threshold: 2.5
+  peak_exclusion_chips: 1.0
+  zero_padding_mode: none
+tracking:
+  integration_ms: 4.0
+  early_late_spacing_chips: 0.25
+  very_early_late_spacing_chips: 0.75
+  dll_noise_bandwidth_hz: 1.0
+  pll_noise_bandwidth_hz: 15.0
+  fll_noise_bandwidth_hz: 20.0
+  pll_order: 3
+  dll_order: 2
+  use_fll_assist: true
+  pull_in_duration_ms: 20.0
+  secondary_code_mode: wipeoff
diff --git a/configs/e1_default.yaml b/configs/e1_default.yaml
new file mode 100644
index 0000000..15c4fd5
--- /dev/null
+++ b/configs/e1_default.yaml
@@ -0,0 +1,32 @@
+signal_profile: GALILEO_E1
+component: E1C
+prns: [1]
+rf:
+  sample_format: complex128
+  input_is_real_if: false
+  sampling_frequency_hz: 16368000.0
+  intermediate_frequency_hz: 4092000.0
+  sample_bit_width: 8
+  sample_endianness: little
+acquisition:
+  doppler_min_hz: -10000.0
+  doppler_max_hz: 10000.0
+  doppler_step_hz: 250.0
+  coherent_integration_ms: 4.0
+  noncoherent_accumulations: 5
+  detection_threshold: 2.5
+  peak_exclusion_chips: 1.0
+  fft_length: null
+  zero_padding_mode: next_power_of_two
+tracking:
+  integration_ms: 4.0
+  early_late_spacing_chips: 0.25
+  very_early_late_spacing_chips: 0.75
+  dll_noise_bandwidth_hz: 1.0
+  pll_noise_bandwidth_hz: 15.0
+  fll_noise_bandwidth_hz: 20.0
+  pll_order: 3
+  dll_order: 2
+  use_fll_assist: true
+  pull_in_duration_ms: 500.0
+  secondary_code_mode: wipeoff
diff --git a/configs/signalsim_detected_format.yaml b/configs/signalsim_detected_format.yaml
new file mode 100644
index 0000000..d417c9c
--- /dev/null
+++ b/configs/signalsim_detected_format.yaml
@@ -0,0 +1,44 @@
+simulator:
+  name: SignalSim
+  repository: https://github.com/globsky/SignalSim
+  commit: 80b262113e77c4482ca9f5cbfef9bcada402ed28
+
+signal:
+  constellation: Galileo
+  band: E1
+  components: [E1B, E1C]
+  component_selection: combined_only
+  modulation: BOC(1,1)_approximation_of_E1_OS_CBOC
+  data_pilot_amplitude: 0.7071067811865476
+  primary_code_length_chips: 4092
+  primary_code_rate_hz: 1023000
+  primary_code_period_ms: 4
+  navigation_data_present: true
+  navigation_data_layer: complete_INAV_symbols_with_CRC_convolutional_encoding_and_interleaving
+  secondary_code_present: true
+  secondary_code_length_symbols: 25
+
+output:
+  representation: complex_iq
+  real_if_supported: false
+  sampling_frequency_hz: 8184000
+  center_frequency_hz: 1573374000
+  intermediate_frequency_hz: 2046000
+  sample_type: int8
+  channels: 1
+  scalar_components_per_sample: 2
+  byte_order: not_applicable_one_byte_scalars
+  iq_order: IQ
+  scaling: truncation_toward_zero_of_25_times_AGC_gain_times_complex_amplitude
+  saturation: [-128, 127]
+  supported_native_formats: [IQ16, IQ8, IQ4, IQ2]
+  iq2_status: broken_at_detected_commit_quantizer_does_not_store_output_byte
+
+conventions:
+  prn_offset: 0
+  code_phase_offset_chips: 0.0
+  table_bit_order: MSB_first_1023_bits_per_1024_bit_sector
+  table_bit_mapping: 0_to_plus_1_1_to_minus_1
+  boc_first_half_sign: 1
+  doppler_sign: positive_output_carrier_frequency_increase
+  carrier_wipeoff_sign: -1
diff --git a/configs/signalsim_validation.yaml b/configs/signalsim_validation.yaml
new file mode 100644
index 0000000..a25fcaa
--- /dev/null
+++ b/configs/signalsim_validation.yaml
@@ -0,0 +1,41 @@
+mode: quick
+vector:
+  name: high_cn0_single_prn
+  samples: verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin
+  generator_config: verification/vectors/signalsim/high_cn0_single_prn/config.json
+  sample_format: IQ8
+  sampling_frequency_hz: 8184000.0
+  intermediate_frequency_hz: 2046000.0
+  duration_s: 2.2
+  prn: 1
+  expected_doppler_hz: 1828.0
+  expected_doppler_source: SignalSim_validate_only_summary_rounded_to_integer_hz
+  expected_code_phase_samples: null
+
+acquisition:
+  doppler_min_hz: 1000.0
+  doppler_max_hz: 2500.0
+  doppler_step_hz: 250.0
+  coherent_integration_ms: 4.0
+  noncoherent_accumulations: 5
+  detection_threshold: 2.5
+  zero_padding_mode: none
+
+tracking:
+  e1b_integration_ms: 2.0
+  e1b_pull_in_ms: 300.0
+  e1c_integration_ms: 4.0
+  e1c_pull_in_ms: 200.0
+  minimum_locked_duration_s: 1.0
+  pll_noise_bandwidth_hz: 10.0
+  fll_noise_bandwidth_hz: 20.0
+  dll_noise_bandwidth_hz: 1.0
+
+pass_criteria:
+  maximum_raw_doppler_error_hz: 250.0
+  maximum_tracking_doppler_error_hz: 10.0
+  maximum_tracking_doppler_jitter_hz: 5.0
+  maximum_dll_rms_chips: 0.15
+  minimum_secondary_correlation: 0.9
+  maximum_secondary_sign_errors: 0
+  minimum_inav_sync_words: 2
diff --git a/configs/tracking_example.yaml b/configs/tracking_example.yaml
new file mode 100644
index 0000000..6b1cfce
--- /dev/null
+++ b/configs/tracking_example.yaml
@@ -0,0 +1,22 @@
+signal_profile: GALILEO_E1
+component: E1C
+prns: [1]
+rf:
+  sample_format: complex128
+  input_is_real_if: false
+  sampling_frequency_hz: 4092000.0
+  intermediate_frequency_hz: 0.0
+  sample_bit_width: 8
+  sample_endianness: little
+tracking:
+  integration_ms: 4.0
+  early_late_spacing_chips: 0.25
+  very_early_late_spacing_chips: 0.75
+  dll_noise_bandwidth_hz: 1.0
+  pll_noise_bandwidth_hz: 15.0
+  fll_noise_bandwidth_hz: 20.0
+  pll_order: 3
+  dll_order: 2
+  use_fll_assist: true
+  pull_in_duration_ms: 100.0
+  secondary_code_mode: wipeoff
diff --git a/data/galileo_e1_primary_codes/README.md b/data/galileo_e1_primary_codes/README.md
new file mode 100644
index 0000000..045056c
--- /dev/null
+++ b/data/galileo_e1_primary_codes/README.md
@@ -0,0 +1,6 @@
+# Galileo E1 primary-code table integration point
+
+No official sequences are bundled. Install independently verified ICD-derived
+tables using the naming and encoding documented by `FileCodeProvider`. The
+built-in `SyntheticCodeProvider` is intentionally non-Galileo and test-only.
+
diff --git a/data/galileo_e1_secondary_codes/README.md b/data/galileo_e1_secondary_codes/README.md
new file mode 100644
index 0000000..b3a7766
--- /dev/null
+++ b/data/galileo_e1_secondary_codes/README.md
@@ -0,0 +1,4 @@
+# Galileo E1 secondary-code table integration point
+
+No official sequence is fabricated or bundled. Validated tables may be added
+here and loaded with `FileCodeProvider`.
diff --git a/docs/algorithms.md b/docs/algorithms.md
new file mode 100644
index 0000000..170bcbe
--- /dev/null
+++ b/docs/algorithms.md
@@ -0,0 +1,119 @@
+# Algorithms and conventions
+
+## Signal and downconversion
+
+The analytic sampled signal uses
+
+\[
+x[n]=A\,c(\tau_n)b(\tau_n)s_{BOC}(\tau_n)
+e^{j(\phi_0+2\pi(f_{IF}+f_D)n/f_s+\pi\dot f_D(n/f_s)^2)}+w[n].
+\]
+
+The generator defines a positive Doppler as positive complex phase rotation.
+Digital downconversion and a candidate Doppler wipeoff therefore use
+
+\[
+y[n]=x[n]e^{-j2\pi(f_{IF}+f_{bin})n/f_s}.
+\]
+
+The phase-accumulator NCO has modulus \(2^P\), frequency-control word
+\(FCW=\operatorname{round}(f_o2^P/f_s)\), and update
+\(phase_{n+1}=(phase_n+FCW)\bmod 2^P\).
+
+## Code and FFT acquisition
+
+Fractional code phase advances by \(f_c/f_s\) chips per sample and indexes the
+chip with `floor(phase) mod code_length`. The BOC(1,1) sine-phased square wave
+is +1 for the first half of a chip and -1 for the second half. This convention
+is shared by generation, acquisition, and tracking.
+
+The circular correlation is
+
+\[
+R_f[k]=\operatorname{IFFT}\{\operatorname{FFT}(y_f[n])
+\operatorname{FFT}(c[n])^*\}[k].
+\]
+
+For coherent interval \(T_c\), the complex correlator output is retained before
+power formation. Noncoherent accumulation is explicitly
+
+\[
+P_f[k]=\sum_{m=0}^{M-1}|R_{f,m}[k]|^2,
+\quad T_{obs}=M T_c.
+\]
+
+Differential combining uses adjacent complex results before magnitude. E1B
+hypothesis mode enumerates primary-epoch signs (limited to eight periods to
+bound exponential work). E1C search enumerates secondary phase; known-phase
+wipeoff uses phase zero at the first observation epoch. Delay results are
+reported over one 4 ms primary period even for longer coherent integrations.
+
+Zero-padding can provide a convenient FFT size or a denser interpolation of a
+particular numerical representation, but it does not increase signal
+bandwidth, physical information, or fundamental delay resolution.
+
+## Detection
+
+After circularly excluding a guard interval around the main peak, the model
+computes
+
+\[
+M_2=P_{max}/P_{second},\qquad M_\mu=P_{max}/\bar P_N,
+\]
+
+plus `(peak-noise_mean)/(sidelobe-noise_mean)` and a CFAR-style
+`(peak-noise_median)/noise_std`. The acquisition C/N0 diagnostic is
+
+\[
+\widehat{C/N_0}=10\log_{10}\left((P_{max}-P_N)/(P_NT_c)\right).
+\]
+
+It is an estimator, not a calibrated RF measurement. Half-chip competitive BOC
+neighbors set a side-peak flag. `flag` is the implemented mitigation; an
+unambiguous BOC/CBOC strategy plugs into the detector without changing results.
+Parabolic interpolation preserves raw Doppler and sample bins.
+
+## Tracking
+
+Each component channel owns carrier/code NCO phase, loop states, correlation
+history, lock counters, C/N0 history, and state-machine state. Phases advance at
+every accepted sample and never reset on Python block boundaries.
+
+Carrier discriminators are
+
+\[
+e_{PLL,2}=\tan^{-1}(Q/I),\qquad e_{PLL,4}=\operatorname{atan2}(Q,I)
+\]
+
+in radians. The cross/phase-difference FLL is
+
+\[
+e_{FLL}=\angle(P_kP_{k-1}^*)/(2\pi T)\quad[Hz].
+\]
+
+The normalized envelope DLL reports a locally calibrated chip error
+
+\[
+e_{DLL}=d\frac{|E|-|L|}{|E|+|L|}\quad[chips],
+\]
+
+with power and dot-product alternatives. A BOC false-lock flag compares VEVL
+and prompt magnitudes.
+
+For a second-order filter, noise bandwidth and damping generate
+
+\[
+\omega_n=\frac{8\zeta B_n}{4\zeta^2+1},\quad
+k_p=2\zeta\omega_n,\quad k_i=\omega_n^2.
+\]
+
+The third-order starting model places three repeated stable poles derived from
+the same \(\omega_n\): correction
+\(3\omega_ne+3\omega_n^2\int e+\omega_n^3\iint e\). These are physical
+starting coefficients, not final optimized receiver-loop values.
+
+Carrier NCO frequency is corrected in hertz; code NCO frequency is nominal code
+rate plus DLL correction and optional carrier aiding
+\(f_{code,aid}=f_{carrier}f_c/f_{RF}\). Prompt C/N0 uses coherent versus total
+prompt moments over a sliding window and divides the ratio by integration time.
+
diff --git a/docs/configuration.md b/docs/configuration.md
new file mode 100644
index 0000000..1d6edd9
--- /dev/null
+++ b/docs/configuration.md
@@ -0,0 +1,28 @@
+# Configuration
+
+`ReceiverConfig` owns RF, acquisition, tracking, front-end, and fixed-point
+dataclasses. YAML loading is strict: a misspelled field is an error.
+
+Important validation rules include positive sampling/loop rates, a real IF
+strictly below Nyquist, integer sample counts per integration interval,
+ordered correlator tap spacing, explicit FFT length when requested, E1B
+bit-transition protection beyond 4 ms, and E1C secondary-code handling beyond
+4 ms. E1B tracking is conservatively limited to 4 ms until navigation-symbol
+synchronization is implemented.
+
+`intermediate_frequency_hz` may be nonzero for either real or analytic input.
+The front end always outputs complex baseband and divides the effective sample
+rate by the integer decimation factor. Acquisition/tracking must use that output
+rate.
+
+Acquisition parallelism fields expose future hardware/software scheduling but
+do not change numerical results. `zero_padding_mode: none` provides the exact
+N-sample circular correlation. A longer FFT changes the sampled numerical
+correlation/edge convention; it is not additional physical delay information.
+
+Default YAML files:
+
+- `e1_default.yaml`: requested 16.368 MHz nominal defaults.
+- `acquisition_example.yaml`: faster 4.092 MHz executable search.
+- `tracking_example.yaml`: 4.092 MHz tracking defaults.
+
diff --git a/docs/development_phases.md b/docs/development_phases.md
new file mode 100644
index 0000000..4ef32ee
--- /dev/null
+++ b/docs/development_phases.md
@@ -0,0 +1,50 @@
+# Phase gates and reproducible commands
+
+The project was implemented in six gates. These are the exact command shapes
+used to validate each gate; the final regression reruns their union.
+
+## Phase 1
+
+```bash
+python -m pytest tests/unit/test_config.py tests/unit/test_signals.py
+python examples/generate_e1_signal.py
+```
+
+## Phase 2
+
+```bash
+python -m pytest tests/unit/test_frontend.py tests/unit/test_acquisition_metrics.py tests/unit/test_acquisition_parallelism.py tests/integration/test_acquisition.py tests/integration/test_long_integration.py
+python examples/run_acquisition.py
+```
+
+## Phases 3 and 4
+
+```bash
+python -m pytest tests/unit/test_discriminators.py tests/unit/test_loop_filters.py tests/unit/test_correlator.py tests/integration/test_tracking.py
+python examples/run_tracking.py
+python examples/run_complete_receiver.py
+```
+
+## Phase 5
+
+```bash
+python -m pytest tests/unit/test_fixed_point.py tests/unit/test_fixed_fft.py tests/integration/test_fixed_acquisition.py tests/regression/test_complete_receiver.py
+python -m galileo_rx.cli compare-fixed --config configs/acquisition_example.yaml --input samples.bin
+```
+
+## Phase 6 and final regression
+
+```bash
+python -m pytest tests/unit/test_rtl_model.py tests/unit/test_vector_export.py
+python -m pytest
+```
+
+The CLI smoke sequence is:
+
+```bash
+python -m galileo_rx.cli generate --config configs/acquisition_example.yaml --duration-ms 60 --prn 1 --output samples.bin
+python -m galileo_rx.cli acquire --config configs/acquisition_example.yaml --input samples.bin --output acquisition.json
+python -m galileo_rx.cli track --config configs/tracking_example.yaml --input samples.bin --acquisition-result acquisition.json --output tracking.csv
+python -m galileo_rx.cli run --config configs/acquisition_example.yaml --input samples.bin
+python -m galileo_rx.cli compare-fixed --config configs/acquisition_example.yaml --input samples.bin
+```
diff --git a/docs/fixed_point_plan.md b/docs/fixed_point_plan.md
new file mode 100644
index 0000000..f7bd64d
--- /dev/null
+++ b/docs/fixed_point_plan.md
@@ -0,0 +1,45 @@
+# Fixed-point plan
+
+The fixed framework represents signed two's-complement integers with declared
+total/fractional widths. Every quantizer selects saturation or wrap and nearest,
+truncate, or convergent ties-to-even rounding. Quantizers count overflow and
+accumulate RMS/peak quantization error.
+
+Proposed starting points (not final widths):
+
+| Stage | Width | Fraction | Policy |
+|---|---:|---:|---|
+| input sample | 8 | 7 | saturate |
+| sine/cosine | 16 | 15 | saturate |
+| mixer output | 18 | 15 | saturate |
+| FFT input | 18 | 15 | saturate |
+| FFT twiddle | 16 | 15 | convergent |
+| FFT stage | 20 | 15 | configured scaling |
+| correlation product | 36 | 30 | full precision then requantize |
+| IFFT output | 28 | 15 | saturate |
+| coherent accumulator | 40 | 15 | saturate |
+| noncoherent accumulator | unsigned 56 | 20 | saturate |
+| carrier phase | unsigned 32 | 0 | natural wrap |
+| code phase | unsigned 48 | 32 | natural wrap |
+| loop state | 32 | 20 | saturate |
+| FCW | signed 32 | 0 | wrap in phase accumulator |
+| discriminator | 24 | 18 | saturate |
+
+`FixedNco` and `FixedCorrelator` are integer bit-true models. Fixed PCPS models
+declared quantization at input, normalized FFT output, pointwise product, IFFT
+output/power, and accumulation. Exact butterfly-level identity depends on the
+chosen streaming FFT IP scaling schedule and is explicitly unresolved until an
+RTL FFT architecture is selected.
+
+`FixedRadix2Fft` supplies a fully stage-quantized power-of-two oracle with
+quantized twiddles, convergent butterfly rounding, saturation counters, and one
+bit of scaling per stage. It is used for standalone RTL FFT vectors. The
+runtime PCPS boundary model remains able to use arbitrary transform lengths;
+matching a vendor FFT at those lengths requires configuring that core's exact
+schedule.
+
+The sweep utility varies input/FFT widths and reports mean absolute/relative,
+RMS, peak error, acquisition decision, Doppler bin, code phase, and overflows.
+Tracking qualification additionally compares convergence, steady-state jitter,
+and loss-of-lock decisions; these metrics must become release gates once loop
+state formats are frozen.
diff --git a/docs/rtl_mapping.md b/docs/rtl_mapping.md
new file mode 100644
index 0000000..5cc6158
--- /dev/null
+++ b/docs/rtl_mapping.md
@@ -0,0 +1,104 @@
+# RTL mapping and architecture tradeoffs
+
+All streaming datapaths use `data`, `valid`, `ready`, optional `first/last`,
+`channel_id`, and sideband metadata. State advances only on `valid && ready`.
+Backpressure must propagate or terminate in a sized sample FIFO. Reset clears
+valid/state/overflow counters and sets NCO phases to software-programmed start
+values; it must not occur between arbitrary host blocks.
+
+## Acquisition formulas
+
+Let \(N_s=\operatorname{round}(f_sT_c)\), FFT size \(N\ge N_s\), PRNs \(P\),
+Doppler bins \(D\), noncoherent intervals \(M\), Doppler lanes \(L\), FFT
+latency/interval \(C_{FFT}\), and clock \(f_{clk}\).
+
+- observation buffer: \(MN_s\) complex samples;
+- transforms per PRN: \(2DM\) when code FFTs are precomputed;
+- code FFT store: \(PN\) complex words (or \(N\) for on-demand PRN loading);
+- pointwise complex multiplications: \(PDMN\);
+- approximate single-engine search cycles:
+  \(P\lceil D/L\rceil M(2C_{FFT}+N)\);
+- acquisition time is those cycles divided by \(f_{clk}\), plus fill and control
+  overhead.
+
+### A — buffered FFT PCPS
+
+One coherent block is buffered. A mixer iterates Doppler bins, a forward FFT is
+multiplied by conjugated code FFT memory, the same or a second engine performs
+IFFT, magnitude squared accumulates in Doppler/code RAM, and peak search scans
+the result. It minimizes mixers/FFT engines/DSPs and maximizes search latency.
+Ping-pong buffers hide capture behind search. One FFT engine needs arbitration
+and doubles transform serialization; two remove that conflict at extra DSP/BRAM.
+
+### B — parallel Doppler lanes
+
+`NUM_DOPPLER_LANES=L` replicates carrier mixers and either feeds batched FFTs or
+replicates FFT engines. With one reused FFT, lanes improve mixing but not the FFT
+bottleneck. With L FFT/IFFT paths, ideal Doppler latency approaches 1/L while
+DSP, twiddle ROM, transpose memory, and noncoherent RAM ports grow roughly with
+L. Intermediate choices use L mixers, a smaller number of FFT engines, and
+FIFOs. Resource budgets and required reacquisition time select L; neither
+architecture is universally preferred.
+
+## Tracking
+
+Fully parallel mode instantiates carrier/code NCOs and VE/E/P/L/VL complex
+MACs per channel. It provides one-sample-per-clock latency independence and
+uses the most DSPs and accumulators.
+
+Time-multiplexed mode stores phase words, FCWs, five complex accumulators, loop
+states, counters, and secondary phase per channel in `channel_state_ram`.
+`NUM_CORRELATOR_LANES` engines visit all active channels for every input sample.
+The no-loss condition is
+
+\[
+\left\lceil\frac{NUM\_TRACKING\_CHANNELS}{NUM\_CORRELATOR\_LANES}\right\rceil
+C_{channel}\le f_{clk}/f_s.
+\]
+
+If it fails, more lanes, a faster clock, a lower post-decimation sample rate, or
+fewer active channels are required. A sample FIFO cannot repair a sustained
+rate violation.
+
+Parameters are `NUM_TRACKING_CHANNELS`, `NUM_CORRELATOR_LANES`, `SAMPLE_WIDTH`,
+`NCO_PHASE_WIDTH`, `CODE_PHASE_WIDTH`, `ACCUMULATOR_WIDTH`, and
+`MAX_INTEGRATION_SAMPLES`. The Python `TrackingScheduler` evaluates this exact
+condition.
+
+The detailed per-module signal, width, latency, storage, reset, saturation, and
+verification contract is in `src/galileo_rx/rtl_model/architecture.md`.
+
+## SignalSim gate before Acquisition IP / Tracking IP implementation
+
+The validated external stimulus is complex IQ8 at 8.184 MHz with +2.046 MHz
+IF. `validate-signalsim` exports the 20 ms acquisition observation as separate
+two's-complement I/Q hex files, a per-sample timestamp CSV, and symbolic
+register values under `reports/signalsim_validation/rtl_vectors/`.
+
+The fixed acquisition boundary model agrees with the float64/complex128
+reference on Doppler bin, code-phase sample, and acquisition decision with zero
+overflow. Its normalized correlation-map RMS error is 0.00219 and peak error is
+0.01996 for the proposed comparison formats. This is an input/FFT/product/power
+boundary result; it does not yet include a selected vendor FFT butterfly shift
+schedule.
+
+Measured requirements feeding the RTL plan are:
+
+- complex IQ input and `IQ` ordering must be a first-class sample-input mode;
+- code ROM import must discard one padding bit per 1024-bit SignalSim E1 table
+  sector—no unexplained chip offset is permitted;
+- acquisition-to-tracking handoff carries IF center separately from Doppler so
+  code aiding never uses the IF frequency;
+- E1B pull-in supports 2 ms dumps and data-insensitive FLL, followed by paired
+  4 ms raw-symbol outputs;
+- E1C channel state includes secondary phase (measured phase 10 for this
+  vector) and supports wipeoff before PLL/discriminator processing;
+- tracking measurement/APB visibility includes prompt I/Q, carrier/code NCOs,
+  state, lock metrics, secondary phase, and symbol-valid/data;
+- APB addresses are still unassigned. The exported metadata uses symbolic
+  names and therefore blocks a bus-level RTL run until the register map exists.
+
+Native real-IF SignalSim stimulus is unavailable, so the real-input DDC path
+remains covered only by internal Python vectors. Full CBOC, IQ2, full I/NAV
+decoding, nominal/weak C/N0, signed-Doppler, and multi-PRN external regressions
+remain gates before claiming broad Galileo/RTL compatibility.
diff --git a/docs/signalsim_integration.md b/docs/signalsim_integration.md
new file mode 100644
index 0000000..613ebd2
--- /dev/null
+++ b/docs/signalsim_integration.md
@@ -0,0 +1,241 @@
+# SignalSim integration and measured compatibility
+
+## Repository identity and immutable baseline
+
+The detected project is the GNSS simulator by Jun Mo (`globsky/SignalSim`), not
+another repository with a similar name.
+
+| Item | Detected value |
+|---|---|
+| Local path | `/home/onur/Desktop/galileo/signalsim/SignalSim` |
+| Remote | `https://github.com/globsky/SignalSim` |
+| Commit | `80b262113e77c4482ca9f5cbfef9bcada402ed28` |
+| Branch/status before integration | `main...origin/main`, clean |
+| License evidence | No LICENSE/COPYING file; source headers say “All rights reserved”; README identifies some commercially licensed features |
+
+SignalSim itself was not modified. The receiver parses its code tables from the
+external checkout at run time, so the SignalSim commit remains part of the test
+vector provenance and its copyrighted tables are not copied into this project.
+
+The identity commands were:
+
+```bash
+git -C signalsim/SignalSim remote -v
+git -C signalsim/SignalSim rev-parse HEAD
+git -C signalsim/SignalSim status --short --branch
+```
+
+## Reproducible build
+
+```bash
+tools/build_signalsim.sh /home/onur/Desktop/galileo/signalsim/SignalSim
+ctest --test-dir build/signalsim --output-on-failure
+```
+
+The build used CMake 3.31.9, GCC 11.4.0, Ninja 1.11.1, C++20, Release mode,
+OpenMP, and `USE_NATIVE_OPT=OFF`. It produced `build/signalsim/IFdataGen`.
+CTest reported `No tests were found!!!`; the repository does not define
+IFdataGen CTest tests at this commit. The documented `-v`/`--version` options do
+not print a version and instead fall through to configuration handling.
+
+## Source-to-sample trace
+
+The executed Galileo E1 path is:
+
+```text
+JSON output.systemSelect "Galileo"/"E1"
+  -> IFdataGen frequency selection
+  -> PrnGenerate(GalileoSystem, SIGNAL_INDEX_E1, SVID)
+       E1B = E1MemoryCode[(SVID-1)*128]
+       E1C = E1MemoryCode[(SVID+49)*128]
+  -> SatelliteSignal
+       E1B = -I/NAV symbol / sqrt(2)
+       E1C = 25-symbol pilot sign / sqrt(2)
+  -> SatIfSignal BOC half-chip sign and carrier rotation
+  -> complex Gaussian noise + AGC
+  -> IQ8/IQ16/IQ4/IQ2 quantizer
+  -> binary file, I before Q
+```
+
+`GetMemorySequence()` reads four storage sectors per E1 code. Within each
+32-word/1024-bit sector it consumes 1023 bits MSB first and discards the last
+padding bit. The receiver adapter mirrors that exact behavior. Treating the
+table as 4092 contiguous bits was experimentally shown to reduce peak/second
+from about 7 to about 1; the sector-aware implementation restores acquisition.
+
+SignalSim models E1 as equal-amplitude E1B and E1C on the same real baseband
+axis. It flips every second 2.046-Mchip/s half-chip, which is BOC(1,1). It does
+not synthesize the BOC(6,1) term or full Galileo E1 OS CBOC in this path. E1B
+and E1C cannot be selected separately by the JSON/CLI; `E1` always generates
+the combined signal.
+
+Source-inspected Galileo selection (only E1 was generated in this validation):
+
+| Band selector | Components implemented in open source path | Data layer / pilot overlay | Validation status |
+|---|---|---|---|
+| E1 | E1B data + E1C pilot, inseparable | I/NAV / common CS25 | Generated and received |
+| E5a | data I + pilot Q codes | F/NAV / PRN-specific CS100 | Source inspected only |
+| E5b | data I + pilot Q codes | I/NAV / PRN-specific CS100 | Source inspected only |
+| E6 | pilot output (data amplitude set to zero) | no open data path / CS100 | Source inspected only |
+| E5 AltBOC | Listed as commercially licensed | N/A | Not available/tested |
+
+### Navigation and secondary data
+
+E1B is not a fixed or random placeholder bit stream. `INavBit::GetFrameData()`
+constructs Galileo I/NAV words from the selected RINEX ephemeris/almanac/UTC
+data, adds CRC-24Q, convolutionally encodes, interleaves, inserts the 10-symbol
+sync pattern, and emits 500 encoded symbols per 2-second page. Word types above
+20 are forced to dummy word 63; reserved/SAR/spare fields include zero-filled
+placeholders. Reed-Solomon ephemeris parity words 17–20 are implemented.
+
+E1C uses a common 25-symbol value held in `PilotBit.cpp` as `0x9b501c`, addressed
+LSB first. This work verifies the sequence SignalSim actually emits; it does
+not independently certify that constant against a particular Galileo ICD
+revision.
+
+See [the bit-layer report](../reports/signalsim_bit_generation_report.md) for a
+stage-by-stage distinction between navigation fields, channel symbols,
+spreading chips, and samples.
+
+## Output formats and controls
+
+`sampleFreq` and `centerFreq` are configurable JSON values in MHz and are
+converted internally to integer kHz. A signal's complex IF is
+`RF carrier - centerFreq`; out-of-band signals are disabled. Native output is
+complex IQ only—there is no real-only IF binary mode.
+
+| Format | Exact packing | Quantization at AGC gain `G` | Status |
+|---|---|---|---|
+| IQ16 | little-endian signed I16, signed Q16 | truncate `3277*G*x`, saturate −32768…32767 | usable |
+| IQ8 | signed I8, signed Q8 | truncate `25*G*x`, saturate −128…127 | validated |
+| IQ4 | one byte; I high nibble, Q low; sign-magnitude | truncate `3*G*abs(x)`, magnitude saturates at 7 | adapter tested |
+| IQ2 | two complex samples/byte, low then high nibble; sign/magnitude | threshold levels | broken in this commit: computed byte is never assigned to output |
+
+The adapter in `galileo_rx.io.signalsim_reader` validates file length, signed
+conversion, byte order, IQ order, offsets, counts, memory mapping, and streaming.
+All decoded samples are promoted to `numpy.complex128`; quantized integer widths
+remain explicit input boundaries.
+
+## Generated vector and executable results
+
+The deterministic vector configuration is
+`verification/vectors/signalsim/high_cn0_single_prn/config.json`. It requests
+one visible Galileo PRN 1, combined E1B/E1C, 55 dB-Hz configured C/N0, 8.184
+MHz complex IQ8, center 1573.374 MHz (IF +2.046 MHz), static receiver, bundled
+RINEX navigation data, and 2.2 seconds duration.
+
+```bash
+build/signalsim/IFdataGen \
+  -c verification/vectors/signalsim/high_cn0_single_prn/config.json \
+  -o verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin \
+  -t -st
+
+MPLBACKEND=Agg python -m galileo_rx.cli validate-signalsim \
+  --signalsim-path signalsim/SignalSim \
+  --config configs/signalsim_validation.yaml \
+  --output-dir reports/signalsim_validation \
+  --mode quick
+```
+
+The sample file is 36,009,600 bytes (18,004,800 complex samples) with SHA-256
+`3e72a5ad2d35ee68273b77587a66847b0fb328650b39c9e39272f0dc54e39e3c`.
+SignalSim's validation summary reports PRN 1 Doppler `+1828 Hz`; this is rounded
+to integer hertz. SignalSim does not emit exact sample-side code-delay truth.
+
+Measured quick-mode results:
+
+| Quantity | E1B | E1C |
+|---|---:|---:|
+| PCPS detected PRN | 1 | 1 |
+| Raw Doppler bin | +1750 Hz | +1750 Hz |
+| Interpolated Doppler | +1766.36 Hz | +1776.64 Hz |
+| Code phase | 18309.410 samples | 18309.256 samples |
+| Peak/second metric | 7.511 | 6.903 |
+| Final tracking Doppler | +1828.251 Hz | +1828.284 Hz |
+| Tracking Doppler jitter | 1.326 Hz RMS | 1.082 Hz RMS |
+| DLL error | 0.0963 chips RMS | 0.0849 chips RMS |
+| Final state | PLL_TRACK | PLL_TRACK |
+| Reacquisition epochs | 0 | 0 |
+
+E1B uses 2 ms pull-in integrations. A 4 ms BPSK-squared FLL has an unambiguous
+range of only ±62.5 Hz, almost exactly the residual between the interpolated
+estimate and the +1828 Hz truth. Two milliseconds expands that range to ±125
+Hz, after which the channel converges and 2 ms prompt pairs form one 4 ms
+symbol. Two exact I/NAV sync patterns were recovered 250 symbols (one second)
+apart after a 300 ms tracking transient. This proves raw symbol recovery and
+page-boundary synchronization, not FEC/page/CRC decoding.
+
+E1C synchronization jointly searched secondary phase and residual carrier
+frequency. It found phase 10 and +52.0 Hz residual, correlation 0.9830, and
+0/100 sign errors. Wiping the secondary code yielded 13.72 dB of 25-period
+coherent gain versus a 4 ms period, and 14.58 dB improvement relative to the
+unwiped 25-period sum.
+
+Full mode adds three generated vectors. The 50 dB-Hz configured nominal vector
+passes E1C acquisition (metric 12.49), secondary synchronization (correlation
+0.9947, 0/100 errors), and pilot tracking at +1828.672 Hz with 0.817 Hz jitter.
+The negative-Doppler PRN 27 vector passes
+acquisition at −2750 Hz versus −2637 Hz truth and, after pull-in, tracks at
+−2637.776 Hz with 0.531 Hz jitter and 0.0615-chip DLL RMS. Five-PRN acquisition
+detects PRNs 1, 4, 19, 21, and 27; every raw Doppler result is within one 250 Hz
+bin. The negative channel raised five reacquisition flags during initial pull-in
+but none after epoch 500, and finished in `PLL_TRACK`; that transient is retained
+in the report rather than hidden.
+
+Detailed machine results and plots are in
+`reports/signalsim_validation/`, with acquisition-only results in
+`reports/signalsim_acquisition_report.{json,md}`.
+
+## Direct answers and limitations
+
+1. Galileo generation: **yes**.
+2. Galileo bands: E1, E5a, E5b, E6; E5 AltBOC is not in the open path.
+3. E1B: **yes, only as part of combined E1**.
+4. E1C: **yes, only as part of combined E1**.
+5. Modulation: BOC(1,1) approximation, not CBOC.
+6. Navigation data: complete encoded/interleaved I/NAV symbols are generated,
+   with the field limitations described above.
+7. E1C secondary symbols: **yes**, 25 symbols.
+8. Configurable IF: **yes**, through center frequency, kHz granularity.
+9. Configurable sample rate: **yes**, kHz granularity.
+10. Output: complex IQ only; no native real IF.
+11. Binary formats: exact table above; IQ8 is the validated integration format.
+12. PCPS acquisition: **pass** for E1B and E1C.
+13. Carrier/code tracking: **pass** for E1B and E1C over the available vector.
+14. E1B symbols: **raw symbols and sync recovered**; navigation decoder absent.
+15. E1C secondary: **phase synchronized and long-coherent gain measured**.
+16. Failures: no component-only E1, no CBOC, no real IF, broken IQ2 writer,
+   no exported exact delay/symbol truth, no receiver I/NAV FEC/page decoder,
+   and the remaining signal-format/component limitations listed above.
+
+## Compatibility and RTL readiness
+
+“Ready” below means the external stimulus, convention adapter, Python golden
+result, and automated check exist. It does not claim the RTL IP itself is built.
+
+| Capability | SignalSim support | Python receiver result | RTL readiness |
+|---|---:|---:|---:|
+| Galileo E1B generation | Partial (combined E1 only) | Pass | Ready |
+| Galileo E1C generation | Partial (combined E1 only) | Pass | Ready |
+| Real IF | No | Not tested | Blocked |
+| Complex IQ | Yes | Pass | Ready |
+| Configurable sample rate | Yes | Pass at 8.184 MHz | Ready |
+| Configurable IF | Yes | Pass at +2.046 MHz | Ready |
+| PCPS acquisition | N/A | Pass | Ready |
+| Carrier tracking | N/A | Pass | Ready |
+| Code tracking | N/A | Pass | Ready |
+| E1B symbol recovery | Generated | Pass (raw + sync) | Ready |
+| Full I/NAV decoding | Generated | Not implemented | Blocked |
+| E1C secondary-code synchronization | Generated | Pass | Ready |
+
+## Regression commands
+
+```bash
+pytest -m signalsim -v
+pytest tests/integration/test_signalsim_acquisition.py -v
+pytest tests/integration/test_signalsim_tracking.py -v
+```
+
+`--mode full` additionally regenerates/validates nominal-C/N0 acquisition,
+negative-Doppler acquisition and tracking, and five-PRN acquisition. E1B-only
+and E1C-only cases remain blocked because SignalSim cannot generate them.
diff --git a/examples/generate_e1_signal.py b/examples/generate_e1_signal.py
new file mode 100644
index 0000000..c7414d2
--- /dev/null
+++ b/examples/generate_e1_signal.py
@@ -0,0 +1,16 @@
+"""Generate a deterministic, synthetic (not ICD-code) E1C recording."""
+
+from galileo_rx.io.sample_writer import write_samples
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+
+fs = 4.092e6
+generator = SyntheticSignalGenerator(
+    galileo_e1_profile(), SyntheticCodeProvider(), fs,
+    satellites=[SatelliteSignalConfig(1, "E1C", code_delay_chips=120.0, doppler_hz=1250.0, cn0_db_hz=48.0)],
+    channel=ChannelModelConfig(seed=2026),
+)
+samples, truth = generator.generate(int(0.1 * fs))
+write_samples("e1_synthetic.c128", samples)
+print(truth)
diff --git a/examples/run_acquisition.py b/examples/run_acquisition.py
new file mode 100644
index 0000000..72df3b3
--- /dev/null
+++ b/examples/run_acquisition.py
@@ -0,0 +1,16 @@
+"""Generate and acquire one synthetic E1C satellite."""
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import AcquisitionConfig
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+
+fs = 4.092e6
+profile, provider = galileo_e1_profile(), SyntheticCodeProvider()
+generator = SyntheticSignalGenerator(profile, provider, fs, satellites=[SatelliteSignalConfig(1, code_delay_chips=120, doppler_hz=1250, cn0_db_hz=48)], channel=ChannelModelConfig(seed=11))
+samples, _ = generator.generate(int(0.008 * fs))
+config = AcquisitionConfig(doppler_min_hz=-2500, doppler_max_hz=2500, noncoherent_accumulations=2, zero_padding_mode="none")
+result, _ = AcquisitionManager(profile, provider, fs, config).acquire_one(samples, "E1C", 1)
+print(result)
+
diff --git a/examples/run_complete_receiver.py b/examples/run_complete_receiver.py
new file mode 100644
index 0000000..af90695
--- /dev/null
+++ b/examples/run_complete_receiver.py
@@ -0,0 +1,5 @@
+"""Complete synthetic generate/acquire/track flow."""
+
+from run_tracking import measurements, result
+
+print(f"detected={result.detected}, Doppler={result.doppler_hz:.1f} Hz, epochs={len(measurements)}")
diff --git a/examples/run_tracking.py b/examples/run_tracking.py
new file mode 100644
index 0000000..d6207e4
--- /dev/null
+++ b/examples/run_tracking.py
@@ -0,0 +1,19 @@
+"""Acquire then track a synthetic pilot."""
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import AcquisitionConfig, TrackingConfig
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+from galileo_rx.tracking.tracking_channel import TrackingChannel
+
+fs = 4.092e6
+profile, provider = galileo_e1_profile(), SyntheticCodeProvider()
+generator = SyntheticSignalGenerator(profile, provider, fs, satellites=[SatelliteSignalConfig(1, code_delay_chips=40, doppler_hz=750, cn0_db_hz=50)], channel=ChannelModelConfig(seed=5))
+samples, _ = generator.generate(int(0.12 * fs))
+acq_config = AcquisitionConfig(doppler_min_hz=-2000, doppler_max_hz=2000, noncoherent_accumulations=2, zero_padding_mode="none")
+result, _ = AcquisitionManager(profile, provider, fs, acq_config).acquire_one(samples, "E1C", 1)
+channel = TrackingChannel(profile, provider, fs, TrackingConfig(secondary_code_mode="wipeoff", pull_in_duration_ms=20), result)
+measurements = channel.process(samples)
+print(measurements[-1])
+
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..66d1d63
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,25 @@
+[build-system]
+requires = ["setuptools>=68", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "galileo-receiver"
+version = "0.1.0"
+description = "Profile-driven Galileo receiver baseband reference and bit-true models"
+readme = "README.md"
+requires-python = ">=3.11"
+dependencies = ["numpy>=1.24", "scipy>=1.10", "PyYAML>=6.0", "matplotlib>=3.7"]
+
+[project.optional-dependencies]
+test = ["pytest>=7.4", "pytest-cov>=4.1"]
+
+[project.scripts]
+galileo-rx = "galileo_rx.cli:main"
+
+[tool.setuptools.packages.find]
+where = ["src"]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+addopts = "-q"
+markers = ["signalsim: requires the external local SignalSim checkout and/or generated vectors"]
diff --git a/reports/signalsim_acquisition_report.json b/reports/signalsim_acquisition_report.json
new file mode 100644
index 0000000..818da72
--- /dev/null
+++ b/reports/signalsim_acquisition_report.json
@@ -0,0 +1,103 @@
+{
+  "simulator": {
+    "name": "SignalSim",
+    "path": "/home/onur/Desktop/galileo/signalsim/SignalSim",
+    "remote": "https://github.com/globsky/SignalSim",
+    "commit": "80b262113e77c4482ca9f5cbfef9bcada402ed28",
+    "git_status": "## main...origin/main"
+  },
+  "vector": {
+    "name": "high_cn0_single_prn",
+    "samples": "verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin",
+    "generator_config": "verification/vectors/signalsim/high_cn0_single_prn/config.json",
+    "sample_format": "IQ8",
+    "sampling_frequency_hz": 8184000.0,
+    "intermediate_frequency_hz": 2046000.0,
+    "duration_s": 2.2,
+    "prn": 1,
+    "expected_doppler_hz": 1828.0,
+    "expected_doppler_source": "SignalSim_validate_only_summary_rounded_to_integer_hz",
+    "expected_code_phase_samples": null,
+    "path": "/home/onur/Desktop/galileo/verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin",
+    "size_bytes": 36009600,
+    "complex_sample_count": 18004800,
+    "sha256": "3e72a5ad2d35ee68273b77587a66847b0fb328650b39c9e39272f0dc54e39e3c",
+    "internal_dtype": "complex128"
+  },
+  "acquisition": {
+    "E1B": {
+      "detected": true,
+      "prn": 1,
+      "component": "E1B",
+      "code_phase_samples": 18309.41036755577,
+      "code_phase_chips": 2288.6762959444713,
+      "doppler_hz": 1766.3593126265423,
+      "carrier_frequency_hz": 2047766.3593126265,
+      "peak_power": 5441370632.908489,
+      "second_peak_power": 724471887.0812238,
+      "detection_metric": 7.510809915386589,
+      "estimated_cn0_db_hz": 38.1685032317465,
+      "coherent_integration_ms": 4.0,
+      "noncoherent_accumulations": 5,
+      "raw_code_phase_samples": 18309,
+      "raw_doppler_hz": 1750.0,
+      "metrics": {
+        "peak_to_second": 7.510809915386589,
+        "peak_to_mean": 27.236766759293843,
+        "peak_to_sidelobe": 9.98985090978008,
+        "cfar": 59.10585279263198,
+        "noise_mean": 199780344.01061067,
+        "noise_median": 186242777.1487124,
+        "noise_std": 88910448.07689284,
+        "second_peak": 724471887.0812238
+      },
+      "side_peak_suspected": false,
+      "expected_prn": 1,
+      "expected_doppler_hz": 1828.0,
+      "raw_doppler_error_hz": -78.0,
+      "interpolated_doppler_error_hz": -61.640687373457695,
+      "expected_code_phase_samples": null,
+      "code_phase_error_samples": null,
+      "processing_time_s": 0.06212109600164695,
+      "overflow_count": 0
+    },
+    "E1C": {
+      "detected": true,
+      "prn": 1,
+      "component": "E1C",
+      "code_phase_samples": 18309.255563640225,
+      "code_phase_chips": 2288.656945455028,
+      "doppler_hz": 1776.6435168702901,
+      "carrier_frequency_hz": 2047776.6435168702,
+      "peak_power": 5496116005.536917,
+      "second_peak_power": 796144387.0872731,
+      "detection_metric": 6.90341613239865,
+      "estimated_cn0_db_hz": 38.21910556645223,
+      "coherent_integration_ms": 4.0,
+      "noncoherent_accumulations": 5,
+      "raw_code_phase_samples": 18309,
+      "raw_doppler_hz": 1750.0,
+      "metrics": {
+        "peak_to_second": 6.90341613239865,
+        "peak_to_mean": 27.54425543885342,
+        "peak_to_sidelobe": 8.877838662393293,
+        "cfar": 59.373205541870576,
+        "noise_mean": 199537650.1549647,
+        "noise_median": 185090556.71506774,
+        "noise_std": 89451553.10970132,
+        "second_peak": 796144387.0872731
+      },
+      "side_peak_suspected": false,
+      "expected_prn": 1,
+      "expected_doppler_hz": 1828.0,
+      "raw_doppler_error_hz": -78.0,
+      "interpolated_doppler_error_hz": -51.356483129709886,
+      "expected_code_phase_samples": null,
+      "code_phase_error_samples": null,
+      "processing_time_s": 0.052345254000101704,
+      "overflow_count": 0
+    }
+  },
+  "pass": true,
+  "truth_limitations": "SignalSim CLI logs rounded Doppler but does not export exact code delay"
+}
diff --git a/reports/signalsim_acquisition_report.md b/reports/signalsim_acquisition_report.md
new file mode 100644
index 0000000..3dbe11d
--- /dev/null
+++ b/reports/signalsim_acquisition_report.md
@@ -0,0 +1,8 @@
+# SignalSim acquisition report
+
+| Component | Detected | Raw Doppler (Hz) | Truth (Hz) | Code phase (samples) | Peak/second |
+|---|---:|---:|---:|---:|---:|
+| E1B | True | 1750.0 | 1828.0 | 18309.410 | 7.511 |
+| E1C | True | 1750.0 | 1828.0 | 18309.256 | 6.903 |
+
+SignalSim does not export exact code-delay truth. Agreement between independently acquired E1B and E1C code phases is used as a cross-component consistency check; no code-phase error is fabricated.
diff --git a/reports/signalsim_bit_generation_report.md b/reports/signalsim_bit_generation_report.md
new file mode 100644
index 0000000..d8a0e91
--- /dev/null
+++ b/reports/signalsim_bit_generation_report.md
@@ -0,0 +1,34 @@
+# SignalSim Galileo E1 bit-generation trace
+
+Inspected project: `globsky/SignalSim`, commit
+`80b262113e77c4482ca9f5cbfef9bcada402ed28`.
+
+| Layer | E1B status | E1C status | Evidence/qualification |
+|---|---|---|---|
+| Navigation fields | Generated from RINEX ephemeris, almanac, UTC/iono | N/A pilot | `INavBit::GetWordData`, setters called by IFdataGen |
+| Navigation page | 500-symbol, 2-second I/NAV page | N/A | `INavBit::GetFrameData` |
+| CRC | CRC-24Q over 196 bits | N/A | `Crc24qEncode` |
+| Channel encoding | Galileo convolutional encoder with tail bits | N/A | `GalConvolutionEncode` |
+| Interleaving | 8 by 30 traversal for both page halves | N/A | final loops in `GetFrameData` |
+| Sync | 10 symbols `0101100000` before each 240-symbol half | N/A | `SyncPattern` |
+| Symbols | One encoded E1B symbol per 4 ms | 25-symbol overlay sequence | `SignalAttributes[9]`; `SecondaryCodeE1` |
+| Spreading | 4092-chip E1B memory code | 4092-chip E1C memory code | `E1MemoryCode`, `GetMemorySequence` |
+| Modulation | BOC(1,1), amplitude `-DataBit/sqrt(2)` | BOC(1,1), amplitude `PilotBit/sqrt(2)` | `SatelliteSignal.cpp`, `SatIfSignal.cpp` |
+| IF samples | Combined complex IQ at RF-center offset | Combined complex IQ | IFdataGen quantizer/output path |
+
+The I/NAV stream is not random dummy data. It includes CRC, convolutional
+encoding, interleaving, sync, page timing, TOW/WN fields where applicable, and
+ephemeris/almanac content. Limitations are also explicit: unsupported word types
+above 20 become dummy word 63, and reserved/SAR/spare content includes fixed
+zero placeholders.
+
+Receiver-side evidence recovered 469 raw E1B symbols after the tracking
+transient and found two exact `0101100000` sync words 250 symbols apart with
+zero errors over the 20 known sync symbols. Receiver-side deinterleaving, FEC
+decoding, page parsing, and CRC validation are not implemented, so this result
+must not be described as decoded navigation bits or decoded I/NAV pages.
+
+E1C evidence found secondary phase 10, normalized correlation 0.9830, and zero
+sign errors over 100 primary-code periods. The implemented 25-symbol constant
+was verified against generated samples but was not independently certified
+against an external ICD table in this work.
diff --git a/reports/signalsim_e1b_symbol_comparison.json b/reports/signalsim_e1b_symbol_comparison.json
new file mode 100644
index 0000000..2c34245
--- /dev/null
+++ b/reports/signalsim_e1b_symbol_comparison.json
@@ -0,0 +1,27 @@
+{
+  "status": "raw_symbols_recovered_page_decoding_not_implemented",
+  "comparison_scope": "known_10_symbol_INAV_sync_words_only",
+  "recovered_symbols": 469,
+  "compared_symbols": 20,
+  "initial_ignored_tracking_epochs": 150,
+  "initial_ignored_time_s": 0.3,
+  "bounded_alignment": "code boundary from PCPS; sync search within remaining 1.876 s",
+  "sync_matches": [
+    {
+      "symbol_index": 190,
+      "sign_inverted": false,
+      "errors": 0
+    },
+    {
+      "symbol_index": 440,
+      "sign_inverted": false,
+      "errors": 0
+    }
+  ],
+  "symbol_errors": 0,
+  "symbol_error_rate": 0.0,
+  "median_soft_symbol_magnitude": 43846.682818616624,
+  "frame_or_page_sync": true,
+  "fec_decoding": "not_implemented",
+  "crc_validation": "not_implemented"
+}
diff --git a/reports/signalsim_validation/acquisition_map_e1b.png b/reports/signalsim_validation/acquisition_map_e1b.png
new file mode 100644
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diff --git a/reports/signalsim_validation/rtl_vectors/signalsim_acquisition_input_iq8.json b/reports/signalsim_validation/rtl_vectors/signalsim_acquisition_input_iq8.json
new file mode 100644
index 0000000..2aa868d
--- /dev/null
+++ b/reports/signalsim_validation/rtl_vectors/signalsim_acquisition_input_iq8.json
@@ -0,0 +1,40 @@
+{
+  "stem": "signalsim_acquisition_input_iq8",
+  "sample_count": 163680,
+  "total_bits": 8,
+  "fractional_bits": 0,
+  "signed": true,
+  "encoding": "two_complement_hex",
+  "i_file": "signalsim_acquisition_input_iq8_i.hex",
+  "q_file": "signalsim_acquisition_input_iq8_q.hex",
+  "overflow_count": 0,
+  "sampling_frequency_hz": 8184000.0,
+  "sample_period_s": 1.2218963831867057e-07,
+  "timestamp_file": "signalsim_acquisition_input_iq8_timestamps.csv",
+  "register_values": {
+    "SAMPLE_WIDTH": 8,
+    "SAMPLE_FRACTIONAL_BITS": 0,
+    "INPUT_REPRESENTATION": "COMPLEX_IQ",
+    "IQ_ORDER": "IQ",
+    "SAMPLING_FREQUENCY_HZ": 8184000.0,
+    "INTERMEDIATE_FREQUENCY_HZ": 2046000.0,
+    "PRN": 1,
+    "COMPONENT": "E1C",
+    "ACQ_DOPPLER_MIN_HZ": 1000.0,
+    "ACQ_DOPPLER_MAX_HZ": 2500.0,
+    "ACQ_DOPPLER_STEP_HZ": 250.0,
+    "ACQ_COHERENT_SAMPLES": 32736,
+    "ACQ_NONCOHERENT_COUNT": 5,
+    "ACQ_FFT_LENGTH": 32736,
+    "TRACK_E1B_INTEGRATION_SAMPLES": 16368,
+    "TRACK_E1C_INTEGRATION_SAMPLES": 32736,
+    "CARRIER_NCO_PHASE_WIDTH": 32,
+    "CARRIER_NCO_FCW": 1074701159,
+    "CODE_NCO_PHASE_WIDTH": 48,
+    "CODE_NCO_FCW": 35184412914156,
+    "E1C_SECONDARY_PHASE": 10,
+    "ACQ_TO_TRACK_CODE_PHASE_SAMPLES": 18309.255563640225,
+    "ACQ_TO_TRACK_DOPPLER_HZ": 1828.0,
+    "NOTE": "Symbolic names; APB addresses remain to be assigned by the RTL IP register map"
+  }
+}
\ No newline at end of file
diff --git a/reports/signalsim_validation/signalsim_e1b_symbol_comparison.json b/reports/signalsim_validation/signalsim_e1b_symbol_comparison.json
new file mode 100644
index 0000000..2c34245
--- /dev/null
+++ b/reports/signalsim_validation/signalsim_e1b_symbol_comparison.json
@@ -0,0 +1,27 @@
+{
+  "status": "raw_symbols_recovered_page_decoding_not_implemented",
+  "comparison_scope": "known_10_symbol_INAV_sync_words_only",
+  "recovered_symbols": 469,
+  "compared_symbols": 20,
+  "initial_ignored_tracking_epochs": 150,
+  "initial_ignored_time_s": 0.3,
+  "bounded_alignment": "code boundary from PCPS; sync search within remaining 1.876 s",
+  "sync_matches": [
+    {
+      "symbol_index": 190,
+      "sign_inverted": false,
+      "errors": 0
+    },
+    {
+      "symbol_index": 440,
+      "sign_inverted": false,
+      "errors": 0
+    }
+  ],
+  "symbol_errors": 0,
+  "symbol_error_rate": 0.0,
+  "median_soft_symbol_magnitude": 43846.682818616624,
+  "frame_or_page_sync": true,
+  "fec_decoding": "not_implemented",
+  "crc_validation": "not_implemented"
+}
diff --git a/reports/signalsim_validation/signalsim_validation_report.json b/reports/signalsim_validation/signalsim_validation_report.json
new file mode 100644
index 0000000..e7acb0a
--- /dev/null
+++ b/reports/signalsim_validation/signalsim_validation_report.json
@@ -0,0 +1,267 @@
+{
+  "simulator": {
+    "name": "SignalSim",
+    "path": "/home/onur/Desktop/galileo/signalsim/SignalSim",
+    "remote": "https://github.com/globsky/SignalSim",
+    "commit": "80b262113e77c4482ca9f5cbfef9bcada402ed28",
+    "git_status": "## main...origin/main"
+  },
+  "vector": {
+    "name": "high_cn0_single_prn",
+    "samples": "verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin",
+    "generator_config": "verification/vectors/signalsim/high_cn0_single_prn/config.json",
+    "sample_format": "IQ8",
+    "sampling_frequency_hz": 8184000.0,
+    "intermediate_frequency_hz": 2046000.0,
+    "duration_s": 2.2,
+    "prn": 1,
+    "expected_doppler_hz": 1828.0,
+    "expected_doppler_source": "SignalSim_validate_only_summary_rounded_to_integer_hz",
+    "expected_code_phase_samples": null,
+    "path": "/home/onur/Desktop/galileo/verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin",
+    "size_bytes": 36009600,
+    "complex_sample_count": 18004800,
+    "sha256": "3e72a5ad2d35ee68273b77587a66847b0fb328650b39c9e39272f0dc54e39e3c",
+    "internal_dtype": "complex128"
+  },
+  "mode": "quick",
+  "acquisition": {
+    "E1B": {
+      "detected": true,
+      "prn": 1,
+      "component": "E1B",
+      "code_phase_samples": 18309.41036755577,
+      "code_phase_chips": 2288.6762959444713,
+      "doppler_hz": 1766.3593126265423,
+      "carrier_frequency_hz": 2047766.3593126265,
+      "peak_power": 5441370632.908489,
+      "second_peak_power": 724471887.0812238,
+      "detection_metric": 7.510809915386589,
+      "estimated_cn0_db_hz": 38.1685032317465,
+      "coherent_integration_ms": 4.0,
+      "noncoherent_accumulations": 5,
+      "raw_code_phase_samples": 18309,
+      "raw_doppler_hz": 1750.0,
+      "metrics": {
+        "peak_to_second": 7.510809915386589,
+        "peak_to_mean": 27.236766759293843,
+        "peak_to_sidelobe": 9.98985090978008,
+        "cfar": 59.10585279263198,
+        "noise_mean": 199780344.01061067,
+        "noise_median": 186242777.1487124,
+        "noise_std": 88910448.07689284,
+        "second_peak": 724471887.0812238
+      },
+      "side_peak_suspected": false,
+      "expected_prn": 1,
+      "expected_doppler_hz": 1828.0,
+      "raw_doppler_error_hz": -78.0,
+      "interpolated_doppler_error_hz": -61.640687373457695,
+      "expected_code_phase_samples": null,
+      "code_phase_error_samples": null,
+      "processing_time_s": 0.06577738200576277,
+      "overflow_count": 0
+    },
+    "E1C": {
+      "detected": true,
+      "prn": 1,
+      "component": "E1C",
+      "code_phase_samples": 18309.255563640225,
+      "code_phase_chips": 2288.656945455028,
+      "doppler_hz": 1776.6435168702901,
+      "carrier_frequency_hz": 2047776.6435168702,
+      "peak_power": 5496116005.536917,
+      "second_peak_power": 796144387.0872731,
+      "detection_metric": 6.90341613239865,
+      "estimated_cn0_db_hz": 38.21910556645223,
+      "coherent_integration_ms": 4.0,
+      "noncoherent_accumulations": 5,
+      "raw_code_phase_samples": 18309,
+      "raw_doppler_hz": 1750.0,
+      "metrics": {
+        "peak_to_second": 6.90341613239865,
+        "peak_to_mean": 27.54425543885342,
+        "peak_to_sidelobe": 8.877838662393293,
+        "cfar": 59.373205541870576,
+        "noise_mean": 199537650.1549647,
+        "noise_median": 185090556.71506774,
+        "noise_std": 89451553.10970132,
+        "second_peak": 796144387.0872731
+      },
+      "side_peak_suspected": false,
+      "expected_prn": 1,
+      "expected_doppler_hz": 1828.0,
+      "raw_doppler_error_hz": -78.0,
+      "interpolated_doppler_error_hz": -51.356483129709886,
+      "expected_code_phase_samples": null,
+      "code_phase_error_samples": null,
+      "processing_time_s": 0.0624623160038027,
+      "overflow_count": 0
+    }
+  },
+  "tracking": {
+    "E1B": {
+      "epoch_count": 1088,
+      "tail_epoch_count": 200,
+      "final_state": "PLL_TRACK",
+      "reacquisition_epoch_count": 0,
+      "loss_of_lock_flag_count": 0,
+      "estimated_doppler_hz": 1828.251096939249,
+      "doppler_error_hz": 0.25109693924900967,
+      "doppler_jitter_hz_rms": 1.3255296914423045,
+      "dll_error_chips_rms": 0.09628370185540092,
+      "mean_prompt_magnitude": 22399.083674143894,
+      "mean_carrier_lock_metric": 0.9896417407083584,
+      "mean_code_lock_metric": 12.739000577793442,
+      "median_cn0_db_hz": 40.7319852224026
+    },
+    "E1C": {
+      "epoch_count": 544,
+      "tail_epoch_count": 200,
+      "final_state": "PLL_TRACK",
+      "reacquisition_epoch_count": 0,
+      "loss_of_lock_flag_count": 0,
+      "estimated_doppler_hz": 1828.2835216359945,
+      "doppler_error_hz": 0.2835216359944752,
+      "doppler_jitter_hz_rms": 1.0823023869896848,
+      "dll_error_chips_rms": 0.08491496617672437,
+      "mean_prompt_magnitude": 43800.06510755679,
+      "mean_carrier_lock_metric": 0.9933108801959688,
+      "mean_code_lock_metric": 12.868774234261869,
+      "median_cn0_db_hz": 39.005575872111315
+    }
+  },
+  "e1b_symbols": {
+    "status": "raw_symbols_recovered_page_decoding_not_implemented",
+    "comparison_scope": "known_10_symbol_INAV_sync_words_only",
+    "recovered_symbols": 469,
+    "compared_symbols": 20,
+    "initial_ignored_tracking_epochs": 150,
+    "initial_ignored_time_s": 0.3,
+    "bounded_alignment": "code boundary from PCPS; sync search within remaining 1.876 s",
+    "sync_matches": [
+      {
+        "symbol_index": 190,
+        "sign_inverted": false,
+        "errors": 0
+      },
+      {
+        "symbol_index": 440,
+        "sign_inverted": false,
+        "errors": 0
+      }
+    ],
+    "symbol_errors": 0,
+    "symbol_error_rate": 0.0,
+    "median_soft_symbol_magnitude": 43846.682818616624,
+    "frame_or_page_sync": true,
+    "fec_decoding": "not_implemented",
+    "crc_validation": "not_implemented"
+  },
+  "e1c_secondary": {
+    "phase": 10,
+    "residual_frequency_hz": 52.0,
+    "normalized_correlation": 0.9830279116196488,
+    "compared_periods": 100,
+    "sign_errors": 0,
+    "sequence_source": "/home/onur/Desktop/galileo/signalsim/SignalSim/src/PilotBit.cpp",
+    "sequence_classification": "SignalSim_implemented_sequence_not_independently_certified_against_ICD",
+    "wiped_25_period_coherent_gain_db": 13.719295519016415,
+    "unwiped_25_period_coherent_gain_db": -0.863467276962604,
+    "wipeoff_gain_improvement_db": 14.582762795979018
+  },
+  "fixed_point_acquisition": {
+    "reference_dtype": "complex128/float64",
+    "input_format": {
+      "total_bits": 10,
+      "fractional_bits": 8
+    },
+    "fft_boundary_format": {
+      "total_bits": 32,
+      "fractional_bits": 20
+    },
+    "power_format": {
+      "total_bits": 64,
+      "fractional_bits": 32,
+      "signed": false
+    },
+    "reference_doppler_bin_hz": 2000.0,
+    "fixed_doppler_bin_hz": 2000.0,
+    "reference_code_phase_samples": 18310,
+    "fixed_code_phase_samples": 18310,
+    "doppler_bin_agreement": true,
+    "code_phase_agreement": true,
+    "acquisition_decision_agreement": true,
+    "normalized_absolute_error_mean": 0.0015404047604332905,
+    "normalized_rms_error": 0.0021864998265414934,
+    "normalized_peak_error": 0.01995720714695684,
+    "overflow_count": 0
+  },
+  "rtl_vector_manifest": {
+    "stem": "signalsim_acquisition_input_iq8",
+    "sample_count": 163680,
+    "total_bits": 8,
+    "fractional_bits": 0,
+    "signed": true,
+    "encoding": "two_complement_hex",
+    "i_file": "signalsim_acquisition_input_iq8_i.hex",
+    "q_file": "signalsim_acquisition_input_iq8_q.hex",
+    "overflow_count": 0,
+    "sampling_frequency_hz": 8184000.0,
+    "sample_period_s": 1.2218963831867057e-07,
+    "timestamp_file": "signalsim_acquisition_input_iq8_timestamps.csv",
+    "register_values": {
+      "SAMPLE_WIDTH": 8,
+      "SAMPLE_FRACTIONAL_BITS": 0,
+      "INPUT_REPRESENTATION": "COMPLEX_IQ",
+      "IQ_ORDER": "IQ",
+      "SAMPLING_FREQUENCY_HZ": 8184000.0,
+      "INTERMEDIATE_FREQUENCY_HZ": 2046000.0,
+      "PRN": 1,
+      "COMPONENT": "E1C",
+      "ACQ_DOPPLER_MIN_HZ": 1000.0,
+      "ACQ_DOPPLER_MAX_HZ": 2500.0,
+      "ACQ_DOPPLER_STEP_HZ": 250.0,
+      "ACQ_COHERENT_SAMPLES": 32736,
+      "ACQ_NONCOHERENT_COUNT": 5,
+      "ACQ_FFT_LENGTH": 32736,
+      "TRACK_E1B_INTEGRATION_SAMPLES": 16368,
+      "TRACK_E1C_INTEGRATION_SAMPLES": 32736,
+      "CARRIER_NCO_PHASE_WIDTH": 32,
+      "CARRIER_NCO_FCW": 1074701159,
+      "CODE_NCO_PHASE_WIDTH": 48,
+      "CODE_NCO_FCW": 35184412914156,
+      "E1C_SECONDARY_PHASE": 10,
+      "ACQ_TO_TRACK_CODE_PHASE_SAMPLES": 18309.255563640225,
+      "ACQ_TO_TRACK_DOPPLER_HZ": 1828.0,
+      "NOTE": "Symbolic names; APB addresses remain to be assigned by the RTL IP register map"
+    }
+  },
+  "pass_criteria": {
+    "maximum_raw_doppler_error_hz": 250.0,
+    "maximum_tracking_doppler_error_hz": 10.0,
+    "maximum_tracking_doppler_jitter_hz": 5.0,
+    "maximum_dll_rms_chips": 0.15,
+    "minimum_secondary_correlation": 0.9,
+    "maximum_secondary_sign_errors": 0,
+    "minimum_inav_sync_words": 2
+  },
+  "passes": {
+    "acquisition": true,
+    "e1b_tracking": true,
+    "e1b_raw_symbol_sync": true,
+    "e1c_secondary_sync": true,
+    "e1c_tracking": true,
+    "fixed_point_acquisition": true
+  },
+  "overall_pass": true,
+  "known_failures": [
+    "SignalSim E1 output cannot select E1B-only or E1C-only",
+    "SignalSim E1 uses BOC(1,1), not full CBOC",
+    "SignalSim has no native real-IF output",
+    "SignalSim IQ2 writer omits the output-byte assignment at this commit",
+    "Full I/NAV receiver-side FEC/page/CRC decoding is not implemented",
+    "SignalSim does not emit exact sample-side code-delay or navigation-symbol truth",
+    "Full multi-vector regression is not generated yet"
+  ]
+}
diff --git a/reports/signalsim_validation/signalsim_validation_report.md b/reports/signalsim_validation/signalsim_validation_report.md
new file mode 100644
index 0000000..9da9805
--- /dev/null
+++ b/reports/signalsim_validation/signalsim_validation_report.md
@@ -0,0 +1,17 @@
+# SignalSim acquisition and tracking validation
+
+Overall quick-mode result: **PASS**
+
+| Check | Result |
+|---|---:|
+| acquisition | PASS |
+| e1b_tracking | PASS |
+| e1b_raw_symbol_sync | PASS |
+| e1c_secondary_sync | PASS |
+| e1c_tracking | PASS |
+| fixed_point_acquisition | PASS |
+
+E1B tracking Doppler: 1828.251 Hz (error +0.251 Hz).
+E1C tracking Doppler: 1828.284 Hz (error +0.284 Hz).
+E1C secondary phase: 10; normalized correlation 0.9830; sign errors 0/100.
+E1B exact I/NAV sync words: 2. Full page decoding is not implemented.
diff --git a/reports/signalsim_validation/tracking_e1b.png b/reports/signalsim_validation/tracking_e1b.png
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diff --git a/reports/signalsim_validation_full/rtl_vectors/signalsim_acquisition_input_iq8.json b/reports/signalsim_validation_full/rtl_vectors/signalsim_acquisition_input_iq8.json
new file mode 100644
index 0000000..2aa868d
--- /dev/null
+++ b/reports/signalsim_validation_full/rtl_vectors/signalsim_acquisition_input_iq8.json
@@ -0,0 +1,40 @@
+{
+  "stem": "signalsim_acquisition_input_iq8",
+  "sample_count": 163680,
+  "total_bits": 8,
+  "fractional_bits": 0,
+  "signed": true,
+  "encoding": "two_complement_hex",
+  "i_file": "signalsim_acquisition_input_iq8_i.hex",
+  "q_file": "signalsim_acquisition_input_iq8_q.hex",
+  "overflow_count": 0,
+  "sampling_frequency_hz": 8184000.0,
+  "sample_period_s": 1.2218963831867057e-07,
+  "timestamp_file": "signalsim_acquisition_input_iq8_timestamps.csv",
+  "register_values": {
+    "SAMPLE_WIDTH": 8,
+    "SAMPLE_FRACTIONAL_BITS": 0,
+    "INPUT_REPRESENTATION": "COMPLEX_IQ",
+    "IQ_ORDER": "IQ",
+    "SAMPLING_FREQUENCY_HZ": 8184000.0,
+    "INTERMEDIATE_FREQUENCY_HZ": 2046000.0,
+    "PRN": 1,
+    "COMPONENT": "E1C",
+    "ACQ_DOPPLER_MIN_HZ": 1000.0,
+    "ACQ_DOPPLER_MAX_HZ": 2500.0,
+    "ACQ_DOPPLER_STEP_HZ": 250.0,
+    "ACQ_COHERENT_SAMPLES": 32736,
+    "ACQ_NONCOHERENT_COUNT": 5,
+    "ACQ_FFT_LENGTH": 32736,
+    "TRACK_E1B_INTEGRATION_SAMPLES": 16368,
+    "TRACK_E1C_INTEGRATION_SAMPLES": 32736,
+    "CARRIER_NCO_PHASE_WIDTH": 32,
+    "CARRIER_NCO_FCW": 1074701159,
+    "CODE_NCO_PHASE_WIDTH": 48,
+    "CODE_NCO_FCW": 35184412914156,
+    "E1C_SECONDARY_PHASE": 10,
+    "ACQ_TO_TRACK_CODE_PHASE_SAMPLES": 18309.255563640225,
+    "ACQ_TO_TRACK_DOPPLER_HZ": 1828.0,
+    "NOTE": "Symbolic names; APB addresses remain to be assigned by the RTL IP register map"
+  }
+}
\ No newline at end of file
diff --git a/reports/signalsim_validation_full/signalsim_e1b_symbol_comparison.json b/reports/signalsim_validation_full/signalsim_e1b_symbol_comparison.json
new file mode 100644
index 0000000..2c34245
--- /dev/null
+++ b/reports/signalsim_validation_full/signalsim_e1b_symbol_comparison.json
@@ -0,0 +1,27 @@
+{
+  "status": "raw_symbols_recovered_page_decoding_not_implemented",
+  "comparison_scope": "known_10_symbol_INAV_sync_words_only",
+  "recovered_symbols": 469,
+  "compared_symbols": 20,
+  "initial_ignored_tracking_epochs": 150,
+  "initial_ignored_time_s": 0.3,
+  "bounded_alignment": "code boundary from PCPS; sync search within remaining 1.876 s",
+  "sync_matches": [
+    {
+      "symbol_index": 190,
+      "sign_inverted": false,
+      "errors": 0
+    },
+    {
+      "symbol_index": 440,
+      "sign_inverted": false,
+      "errors": 0
+    }
+  ],
+  "symbol_errors": 0,
+  "symbol_error_rate": 0.0,
+  "median_soft_symbol_magnitude": 43846.682818616624,
+  "frame_or_page_sync": true,
+  "fec_decoding": "not_implemented",
+  "crc_validation": "not_implemented"
+}
diff --git a/reports/signalsim_validation_full/signalsim_validation_report.json b/reports/signalsim_validation_full/signalsim_validation_report.json
new file mode 100644
index 0000000..e5a0f81
--- /dev/null
+++ b/reports/signalsim_validation_full/signalsim_validation_report.json
@@ -0,0 +1,545 @@
+{
+  "simulator": {
+    "name": "SignalSim",
+    "path": "/home/onur/Desktop/galileo/signalsim/SignalSim",
+    "remote": "https://github.com/globsky/SignalSim",
+    "commit": "80b262113e77c4482ca9f5cbfef9bcada402ed28",
+    "git_status": "## main...origin/main"
+  },
+  "vector": {
+    "name": "high_cn0_single_prn",
+    "samples": "verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin",
+    "generator_config": "verification/vectors/signalsim/high_cn0_single_prn/config.json",
+    "sample_format": "IQ8",
+    "sampling_frequency_hz": 8184000.0,
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+    "prn": 1,
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+    "expected_doppler_source": "SignalSim_validate_only_summary_rounded_to_integer_hz",
+    "expected_code_phase_samples": null,
+    "path": "/home/onur/Desktop/galileo/verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin",
+    "size_bytes": 36009600,
+    "complex_sample_count": 18004800,
+    "sha256": "3e72a5ad2d35ee68273b77587a66847b0fb328650b39c9e39272f0dc54e39e3c",
+    "internal_dtype": "complex128"
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+  },
+  "e1b_symbols": {
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+    "recovered_symbols": 469,
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+        "errors": 0
+      },
+      {
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+      }
+    ],
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+    "frame_or_page_sync": true,
+    "fec_decoding": "not_implemented",
+    "crc_validation": "not_implemented"
+  },
+  "e1c_secondary": {
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+    "residual_frequency_hz": 52.0,
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+      "fractional_bits": 8
+    },
+    "fft_boundary_format": {
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+  "rtl_vector_manifest": {
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+    "fractional_bits": 0,
+    "signed": true,
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+          "second_peak_power": 1130106003.827365,
+          "detection_metric": 27.115837608773887,
+          "estimated_cn0_db_hz": 44.810366937653406,
+          "coherent_integration_ms": 4.0,
+          "noncoherent_accumulations": 5,
+          "raw_code_phase_samples": 11453,
+          "raw_doppler_hz": -250.0,
+          "metrics": {
+            "peak_to_second": 27.115837608773887,
+            "peak_to_mean": 122.08676737545365,
+            "peak_to_sidelobe": 34.57235944504926,
+            "cfar": 257.90378471314983,
+            "noise_mean": 250999936.6781855,
+            "noise_median": 231773952.64053702,
+            "noise_std": 117919932.66662621,
+            "second_peak": 1130106003.827365
+          },
+          "side_peak_suspected": false,
+          "expected_doppler_hz": -367.0,
+          "raw_doppler_error_hz": 117.0,
+          "pass": true
+        },
+        "21": {
+          "detected": true,
+          "prn": 21,
+          "component": "E1C",
+          "code_phase_samples": 23576.992428350735,
+          "code_phase_chips": 2947.124053543842,
+          "doppler_hz": -749.4303755817893,
+          "carrier_frequency_hz": 2045250.5696244182,
+          "peak_power": 61578536111.72763,
+          "second_peak_power": 1115177497.25106,
+          "detection_metric": 55.218596379069915,
+          "estimated_cn0_db_hz": 47.83859101459858,
+          "coherent_integration_ms": 4.0,
+          "noncoherent_accumulations": 5,
+          "raw_code_phase_samples": 23577,
+          "raw_doppler_hz": -750.0,
+          "metrics": {
+            "peak_to_second": 55.218596379069915,
+            "peak_to_mean": 244.175094203,
+            "peak_to_sidelobe": 71.06285060781445,
+            "cfar": 522.8149246569416,
+            "noise_mean": 252190078.24169424,
+            "noise_median": 233744033.19949394,
+            "noise_std": 117335579.35206439,
+            "second_peak": 1115177497.25106
+          },
+          "side_peak_suspected": false,
+          "expected_doppler_hz": -712.0,
+          "raw_doppler_error_hz": -38.0,
+          "pass": true
+        },
+        "27": {
+          "detected": true,
+          "prn": 27,
+          "component": "E1C",
+          "code_phase_samples": 12348.261457074981,
+          "code_phase_chips": 1543.5326821343726,
+          "doppler_hz": -2667.442432329403,
+          "carrier_frequency_hz": 2043332.5575676707,
+          "peak_power": 23965115133.30752,
+          "second_peak_power": 1209176598.921569,
+          "detection_metric": 19.81936729066816,
+          "estimated_cn0_db_hz": 43.66095463640046,
+          "coherent_integration_ms": 4.0,
+          "noncoherent_accumulations": 5,
+          "raw_code_phase_samples": 12348,
+          "raw_doppler_hz": -2750.0,
+          "metrics": {
+            "peak_to_second": 19.81936729066816,
+            "peak_to_mean": 93.92989682313109,
+            "peak_to_sidelobe": 24.852227733911352,
+            "cfar": 198.45743284172485,
+            "noise_mean": 255138309.99339387,
+            "noise_median": 236239222.55910087,
+            "noise_std": 119566576.92772253,
+            "second_peak": 1209176598.921569
+          },
+          "side_peak_suspected": false,
+          "expected_doppler_hz": -2637.0,
+          "raw_doppler_error_hz": -113.0,
+          "pass": true
+        }
+      }
+    }
+  },
+  "pass_criteria": {
+    "maximum_raw_doppler_error_hz": 250.0,
+    "maximum_tracking_doppler_error_hz": 10.0,
+    "maximum_tracking_doppler_jitter_hz": 5.0,
+    "maximum_dll_rms_chips": 0.15,
+    "minimum_secondary_correlation": 0.9,
+    "maximum_secondary_sign_errors": 0,
+    "minimum_inav_sync_words": 2
+  },
+  "passes": {
+    "acquisition": true,
+    "e1b_tracking": true,
+    "e1b_raw_symbol_sync": true,
+    "e1c_secondary_sync": true,
+    "e1c_tracking": true,
+    "fixed_point_acquisition": true,
+    "full_vector_set": true
+  },
+  "overall_pass": true,
+  "known_failures": [
+    "SignalSim E1 output cannot select E1B-only or E1C-only",
+    "SignalSim E1 uses BOC(1,1), not full CBOC",
+    "SignalSim has no native real-IF output",
+    "SignalSim IQ2 writer omits the output-byte assignment at this commit",
+    "Full I/NAV receiver-side FEC/page/CRC decoding is not implemented",
+    "SignalSim does not emit exact sample-side code-delay or navigation-symbol truth"
+  ]
+}
diff --git a/reports/signalsim_validation_full/signalsim_validation_report.md b/reports/signalsim_validation_full/signalsim_validation_report.md
new file mode 100644
index 0000000..a9e734f
--- /dev/null
+++ b/reports/signalsim_validation_full/signalsim_validation_report.md
@@ -0,0 +1,18 @@
+# SignalSim acquisition and tracking validation
+
+Overall full-mode result: **PASS**
+
+| Check | Result |
+|---|---:|
+| acquisition | PASS |
+| e1b_tracking | PASS |
+| e1b_raw_symbol_sync | PASS |
+| e1c_secondary_sync | PASS |
+| e1c_tracking | PASS |
+| fixed_point_acquisition | PASS |
+| full_vector_set | PASS |
+
+E1B tracking Doppler: 1828.251 Hz (error +0.251 Hz).
+E1C tracking Doppler: 1828.284 Hz (error +0.284 Hz).
+E1C secondary phase: 10; normalized correlation 0.9830; sign errors 0/100.
+E1B exact I/NAV sync words: 2. Full page decoding is not implemented.
diff --git a/reports/signalsim_validation_full/tracking_e1b.png b/reports/signalsim_validation_full/tracking_e1b.png
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HcmV?d00001

diff --git a/src/galileo_rx/__init__.py b/src/galileo_rx/__init__.py
new file mode 100644
index 0000000..3485c9b
--- /dev/null
+++ b/src/galileo_rx/__init__.py
@@ -0,0 +1,8 @@
+"""Galileo receiver baseband reference model."""
+
+from .config import ReceiverConfig, load_config
+from .signal_profiles import SignalProfile, galileo_e1_profile
+
+__all__ = ["ReceiverConfig", "SignalProfile", "galileo_e1_profile", "load_config"]
+__version__ = "0.1.0"
+
diff --git a/src/galileo_rx/acquisition/__init__.py b/src/galileo_rx/acquisition/__init__.py
new file mode 100644
index 0000000..d52a009
--- /dev/null
+++ b/src/galileo_rx/acquisition/__init__.py
@@ -0,0 +1,7 @@
+"""FFT parallel code-phase acquisition."""
+
+from .acquisition_manager import AcquisitionManager
+from .fft_pcps import PcpsAcquisition, PcpsSearchGrid
+
+__all__ = ["AcquisitionManager", "PcpsAcquisition", "PcpsSearchGrid"]
+
diff --git a/src/galileo_rx/acquisition/acquisition_manager.py b/src/galileo_rx/acquisition/acquisition_manager.py
new file mode 100644
index 0000000..0e4ffe8
--- /dev/null
+++ b/src/galileo_rx/acquisition/acquisition_manager.py
@@ -0,0 +1,67 @@
+"""PRN search orchestration and structured results."""
+
+from __future__ import annotations
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.config import AcquisitionConfig
+from galileo_rx.signal_profiles import SignalProfile
+from galileo_rx.signals.code_provider import CodeProvider
+from galileo_rx.types import AcquisitionResult
+from .detector import boc_side_peak_suspected, parabolic_offset
+from .fft_pcps import PcpsAcquisition, PcpsSearchGrid
+from .metrics import calculate_metrics, estimate_acquisition_cn0_db_hz
+
+
+class AcquisitionManager:
+    def __init__(self, profile: SignalProfile, provider: CodeProvider, sampling_frequency_hz: float, config: AcquisitionConfig) -> None:
+        self.profile = profile
+        self.sampling_frequency_hz = sampling_frequency_hz
+        self.config = config
+        self.engine = PcpsAcquisition(profile, provider, sampling_frequency_hz, config)
+
+    def acquire_one(self, samples: npt.NDArray[np.generic], component: str, prn: int, carrier_center_hz: float = 0.0) -> tuple[AcquisitionResult, PcpsSearchGrid]:
+        grid = self.engine.search(samples, component, prn, carrier_center_hz)
+        raw_doppler_index, raw_code_index = np.unravel_index(int(np.argmax(grid.power)), grid.power.shape)
+        profile = grid.power[raw_doppler_index]
+        samples_per_chip = self.sampling_frequency_hz / self.profile.code_rate_hz
+        guard = max(1, int(np.ceil(self.config.peak_exclusion_chips * samples_per_chip)))
+        metrics = calculate_metrics(profile, raw_code_index, guard)
+        selected_metric = metrics[self.config.metric]
+        code_offset = 0.0
+        doppler_offset = 0.0
+        if self.config.parabolic_interpolation:
+            code_offset = parabolic_offset(profile[(raw_code_index - 1) % profile.size], profile[raw_code_index], profile[(raw_code_index + 1) % profile.size])
+            if 0 < raw_doppler_index < grid.doppler_bins_hz.size - 1:
+                doppler_offset = parabolic_offset(
+                    grid.power[raw_doppler_index - 1, raw_code_index],
+                    grid.power[raw_doppler_index, raw_code_index],
+                    grid.power[raw_doppler_index + 1, raw_code_index],
+                )
+        code_samples = float((raw_code_index + code_offset) % profile.size)
+        doppler_hz = float(grid.doppler_bins_hz[raw_doppler_index] + doppler_offset * self.config.doppler_step_hz)
+        cn0 = estimate_acquisition_cn0_db_hz(float(profile[raw_code_index]), metrics["noise_mean"], self.config.coherent_integration_ms * 1e-3)
+        result = AcquisitionResult(
+            detected=selected_metric >= self.config.detection_threshold,
+            prn=prn,
+            component=component,
+            code_phase_samples=code_samples,
+            code_phase_chips=code_samples / samples_per_chip,
+            doppler_hz=doppler_hz,
+            carrier_frequency_hz=carrier_center_hz + doppler_hz,
+            peak_power=float(profile[raw_code_index]),
+            second_peak_power=metrics["second_peak"],
+            detection_metric=selected_metric,
+            estimated_cn0_db_hz=cn0,
+            coherent_integration_ms=self.config.coherent_integration_ms,
+            noncoherent_accumulations=self.config.noncoherent_accumulations,
+            raw_code_phase_samples=int(raw_code_index),
+            raw_doppler_hz=float(grid.doppler_bins_hz[raw_doppler_index]),
+            metrics=metrics,
+            side_peak_suspected=boc_side_peak_suspected(profile, raw_code_index, samples_per_chip),
+        )
+        return result, grid
+
+    def acquire(self, samples: npt.NDArray[np.generic], component: str, prns: list[int], carrier_center_hz: float = 0.0) -> list[AcquisitionResult]:
+        return [self.acquire_one(samples, component, prn, carrier_center_hz)[0] for prn in prns]
diff --git a/src/galileo_rx/acquisition/detector.py b/src/galileo_rx/acquisition/detector.py
new file mode 100644
index 0000000..99d0541
--- /dev/null
+++ b/src/galileo_rx/acquisition/detector.py
@@ -0,0 +1,21 @@
+"""Detection decision and sub-bin interpolation."""
+
+from __future__ import annotations
+
+import numpy as np
+
+
+def parabolic_offset(left: float, center: float, right: float) -> float:
+    denominator = left - 2.0 * center + right
+    if denominator == 0:
+        return 0.0
+    return float(np.clip(0.5 * (left - right) / denominator, -0.5, 0.5))
+
+
+def boc_side_peak_suspected(profile: np.ndarray, peak_index: int, samples_per_chip: float) -> bool:
+    """Flag a competitive BOC(1,1) half-chip neighbor; no false unambiguous claim."""
+    offset = max(1, int(round(0.5 * samples_per_chip)))
+    peak = profile[peak_index]
+    neighbors = [profile[(peak_index - offset) % profile.size], profile[(peak_index + offset) % profile.size]]
+    return bool(max(neighbors) > 0.75 * peak)
+
diff --git a/src/galileo_rx/acquisition/fft_pcps.py b/src/galileo_rx/acquisition/fft_pcps.py
new file mode 100644
index 0000000..2342d47
--- /dev/null
+++ b/src/galileo_rx/acquisition/fft_pcps.py
@@ -0,0 +1,138 @@
+"""Readable floating-point FFT parallel code-phase search."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.config import AcquisitionConfig
+from galileo_rx.signal_profiles import SignalProfile
+from galileo_rx.signals.code_provider import CodeProvider
+from galileo_rx.signals.galileo_e1 import e1_local_replica
+
+
+@dataclass(slots=True)
+class PcpsSearchGrid:
+    doppler_bins_hz: npt.NDArray[np.float64]
+    power: npt.NDArray[np.float64]
+    complex_sums: npt.NDArray[np.complex128] | None
+    coherent_samples: int
+    fft_length: int
+
+
+class PcpsAcquisition:
+    def __init__(self, profile: SignalProfile, provider: CodeProvider, sampling_frequency_hz: float, config: AcquisitionConfig) -> None:
+        self.profile = profile
+        self.provider = provider
+        self.sampling_frequency_hz = sampling_frequency_hz
+        self.config = config
+        config.validate()
+        self._code_fft_cache: dict[tuple[str, int, int, int, tuple[int, ...], float], npt.NDArray[np.complex128]] = {}
+
+    @property
+    def coherent_samples(self) -> int:
+        exact = self.sampling_frequency_hz * self.config.coherent_integration_ms * 1e-3
+        rounded = int(round(exact))
+        if not np.isclose(exact, rounded, atol=1e-6):
+            raise ValueError("coherent integration time is not an integer number of samples")
+        return rounded
+
+    def _fft_length(self, sample_count: int) -> int:
+        if self.config.fft_length is not None:
+            if self.config.fft_length < sample_count:
+                raise ValueError("fft_length cannot be shorter than coherent block")
+            return self.config.fft_length
+        if self.config.zero_padding_mode == "next_power_of_two":
+            return 1 << (sample_count - 1).bit_length()
+        return sample_count
+
+    def _replica_fft(self, component: str, prn: int, sample_count: int, fft_length: int, primary_signs: tuple[int, ...], doppler_hz: float) -> npt.NDArray[np.complex128]:
+        effective_code_rate_hz = self.profile.code_rate_hz
+        if self.config.code_doppler_aiding:
+            effective_code_rate_hz *= 1.0 + doppler_hz / self.profile.carrier_frequency_hz
+        key = (component, prn, sample_count, fft_length, primary_signs, effective_code_rate_hz)
+        if key not in self._code_fft_cache:
+            replica = e1_local_replica(
+                self.profile, self.provider, component, prn, sample_count,
+                self.sampling_frequency_hz, code_rate_hz=effective_code_rate_hz,
+            )
+            if primary_signs != (1,):
+                primary_samples = int(round(self.profile.component(component).primary_code_period_s * self.sampling_frequency_hz))
+                signs = np.repeat(np.asarray(primary_signs, dtype=np.float64), primary_samples)
+                replica = replica * np.resize(signs, sample_count)
+            self._code_fft_cache[key] = np.conjugate(np.fft.fft(replica, fft_length))
+        return self._code_fft_cache[key]
+
+    def _sign_hypotheses(self, component: str, prn: int, primary_periods: int, first_primary_epoch: int) -> list[tuple[int, ...]]:
+        spec = self.profile.component(component)
+        if primary_periods <= 1:
+            return [(1,)]
+        if spec.channel_type == "pilot" and self.config.secondary_code_mode in {"wipeoff", "search"}:
+            secondary = self.provider.secondary_code(self.profile, component, prn)
+            if secondary is None:
+                raise ValueError("secondary-code handling requested but provider returned no secondary code")
+            phases = range(secondary.size) if self.config.secondary_code_mode == "search" else range(1)
+            return [tuple(int(secondary[(phase + first_primary_epoch + epoch) % secondary.size]) for epoch in range(primary_periods)) for phase in phases]
+        if spec.channel_type == "data" and self.config.bit_transition_mode == "hypothesis":
+            if primary_periods > 8:
+                raise ValueError("bit-transition hypothesis search is limited to 8 primary periods")
+            return [tuple([1] + [1 if (mask >> bit) & 1 else -1 for bit in range(primary_periods - 1)]) for mask in range(1 << (primary_periods - 1))]
+        return [(1,) * primary_periods]
+
+    def search(self, samples: npt.NDArray[np.generic], component: str, prn: int, carrier_center_hz: float = 0.0) -> PcpsSearchGrid:
+        array = np.asarray(samples, dtype=np.complex128)
+        coherent_samples = self.coherent_samples
+        required = coherent_samples * self.config.noncoherent_accumulations
+        if array.size < required:
+            raise ValueError(f"acquisition needs {required} samples, received {array.size}")
+        fft_length = self._fft_length(coherent_samples)
+        primary_samples = int(round(self.profile.component(component).primary_code_period_s * self.sampling_frequency_hz))
+        primary_periods_exact = coherent_samples / primary_samples
+        primary_periods = int(round(primary_periods_exact))
+        if not np.isclose(primary_periods_exact, primary_periods, atol=1e-9):
+            raise ValueError("coherent integration must contain a whole number of primary-code periods")
+        bins = np.arange(
+            self.config.doppler_min_hz,
+            self.config.doppler_max_hz + 0.5 * self.config.doppler_step_hz,
+            self.config.doppler_step_hz,
+            dtype=np.float64,
+        )
+        # Code delay is periodic over one primary code even when coherent time
+        # spans several signed primary epochs. Keeping one period prevents an
+        # artificial duplicate peak from corrupting the second-peak metric.
+        code_phase_bins = primary_samples
+        power = np.zeros((bins.size, code_phase_bins), dtype=np.float64)
+        complex_sums = np.zeros((bins.size, code_phase_bins), dtype=np.complex128) if self.config.preserve_complex_sums else None
+        time_s = np.arange(coherent_samples, dtype=np.float64) / self.sampling_frequency_hz
+        batch_size = 1 if self.config.parallelism == "sequential" else max(1, self.config.doppler_batch_size)
+        for first_bin in range(0, bins.size, batch_size):
+            batch_bins = bins[first_bin : first_bin + batch_size]
+            carrier = np.exp(-2j * np.pi * (carrier_center_hz + batch_bins[:, None]) * time_s[None, :])
+            previous_correlation: npt.NDArray[np.complex128] | None = None
+            for accumulation in range(self.config.noncoherent_accumulations):
+                start = accumulation * coherent_samples
+                # Absolute sample time contributes only a common phase per coherent block,
+                # which magnitude-squared noncoherent accumulation intentionally discards.
+                mixed = array[start : start + coherent_samples][None, :] * carrier
+                sample_fft = np.fft.fft(mixed, fft_length, axis=1)
+                hypotheses = self._sign_hypotheses(component, prn, primary_periods, accumulation * primary_periods)
+                code_ffts = np.asarray([[
+                    self._replica_fft(component, prn, coherent_samples, fft_length, signs, float(doppler_hz))
+                    for signs in hypotheses
+                ] for doppler_hz in batch_bins])
+                stack = np.fft.ifft(sample_fft[:, None, :] * code_ffts, axis=-1)[:, :, :code_phase_bins]
+                if stack.shape[1] == 1:
+                    correlation = stack[:, 0, :]
+                else:
+                    winners = np.argmax(np.abs(stack) ** 2, axis=1)
+                    correlation = np.take_along_axis(stack, winners[:, None, :], axis=1)[:, 0, :]
+                if self.config.bit_transition_mode == "differential" and previous_correlation is not None:
+                    power[first_bin : first_bin + batch_bins.size] += np.abs(correlation * np.conjugate(previous_correlation))
+                else:
+                    power[first_bin : first_bin + batch_bins.size] += np.abs(correlation) ** 2
+                if complex_sums is not None:
+                    complex_sums[first_bin : first_bin + batch_bins.size] += correlation
+                previous_correlation = correlation
+        return PcpsSearchGrid(bins, power, complex_sums, coherent_samples, fft_length)
diff --git a/src/galileo_rx/acquisition/metrics.py b/src/galileo_rx/acquisition/metrics.py
new file mode 100644
index 0000000..c596350
--- /dev/null
+++ b/src/galileo_rx/acquisition/metrics.py
@@ -0,0 +1,41 @@
+"""Acquisition peak and noise metrics."""
+
+from __future__ import annotations
+
+import numpy as np
+import numpy.typing as npt
+
+
+def circular_guard_mask(length: int, peak_index: int, guard_samples: int) -> npt.NDArray[np.bool_]:
+    indices = np.arange(length)
+    circular_distance = np.minimum((indices - peak_index) % length, (peak_index - indices) % length)
+    return circular_distance > guard_samples
+
+
+def calculate_metrics(power: npt.NDArray[np.float64], peak_index: int, guard_samples: int) -> dict[str, float]:
+    valid = circular_guard_mask(power.size, peak_index, guard_samples)
+    noise = power[valid]
+    peak = float(power[peak_index])
+    second = float(np.max(noise)) if noise.size else 0.0
+    mean = float(np.mean(noise)) if noise.size else 0.0
+    median = float(np.median(noise)) if noise.size else 0.0
+    std = float(np.std(noise)) if noise.size else 0.0
+    epsilon = np.finfo(np.float64).tiny
+    return {
+        "peak_to_second": peak / max(second, epsilon),
+        "peak_to_mean": peak / max(mean, epsilon),
+        "peak_to_sidelobe": (peak - mean) / max(second - mean, epsilon),
+        "cfar": (peak - median) / max(std, epsilon),
+        "noise_mean": mean,
+        "noise_median": median,
+        "noise_std": std,
+        "second_peak": second,
+    }
+
+
+def estimate_acquisition_cn0_db_hz(peak_power: float, noise_power: float, coherent_time_s: float) -> float | None:
+    signal_power = peak_power - noise_power
+    if signal_power <= 0 or noise_power <= 0 or coherent_time_s <= 0:
+        return None
+    return float(10.0 * np.log10(signal_power / noise_power / coherent_time_s))
+
diff --git a/src/galileo_rx/cli.py b/src/galileo_rx/cli.py
new file mode 100644
index 0000000..231a3ba
--- /dev/null
+++ b/src/galileo_rx/cli.py
@@ -0,0 +1,189 @@
+"""Command-line entry points for generation, acquisition, tracking, and comparison."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import logging
+from dataclasses import asdict
+from pathlib import Path
+
+import numpy as np
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import load_config
+from galileo_rx.diagnostics.reports import export_json, export_tracking_csv
+from galileo_rx.fixed_point.bittrue_pipeline import compare_acquisition
+from galileo_rx.fixed_point.fixed_acquisition import FixedPcpsAcquisition
+from galileo_rx.frontend.frontend_chain import FrontendChain
+from galileo_rx.io.sample_reader import read_samples
+from galileo_rx.io.sample_writer import write_samples
+from galileo_rx.signal_profiles import get_signal_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.galileo_e1 import e1_local_replica
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+from galileo_rx.tracking.tracking_channel import TrackingChannel
+from galileo_rx.types import AcquisitionResult
+from galileo_rx.verification.signalsim_validation import locate_signalsim, validate_signalsim
+
+LOGGER = logging.getLogger("galileo_rx")
+
+
+def _load_and_frontend(config_path: str, input_path: str):
+    config = load_config(config_path)
+    raw = read_samples(input_path, config.rf.sample_format, config.rf.sample_endianness)
+    frontend = FrontendChain(config.rf, config.frontend)
+    return config, frontend.process(raw), frontend.output_sampling_frequency_hz
+
+
+def _result_from_json(path: str) -> AcquisitionResult:
+    raw = json.loads(Path(path).read_text(encoding="utf-8"))
+    if isinstance(raw, list):
+        detected = [item for item in raw if item.get("detected")]
+        if not detected:
+            raise ValueError("acquisition result file contains no detected result")
+        raw = detected[0]
+    return AcquisitionResult(**raw)
+
+
+def command_generate(args: argparse.Namespace) -> None:
+    config = load_config(args.config)
+    profile = get_signal_profile(config.signal_profile)
+    provider = SyntheticCodeProvider()
+    satellite = SatelliteSignalConfig(
+        prn=args.prn or config.prns[0], component=config.component, code_delay_chips=args.code_delay_chips,
+        doppler_hz=args.doppler_hz, doppler_rate_hz_s=args.doppler_rate_hz_s,
+        carrier_phase_rad=args.carrier_phase_rad, amplitude=args.amplitude, cn0_db_hz=args.cn0_db_hz,
+    )
+    channel = ChannelModelConfig(seed=args.seed, quantization_bits=args.quantization_bits, clip_amplitude=args.clip_amplitude)
+    generator = SyntheticSignalGenerator(
+        profile, provider, config.rf.sampling_frequency_hz, config.rf.intermediate_frequency_hz,
+        config.rf.input_is_real_if, [satellite], channel,
+    )
+    sample_count = int(round(args.duration_ms * 1e-3 * config.rf.sampling_frequency_hz))
+    samples, truth = generator.generate(sample_count)
+    write_samples(args.output, samples, config.rf.sample_endianness)
+    export_json(str(args.output) + ".truth.json", truth)
+    LOGGER.info("wrote %d samples and truth metadata", sample_count)
+
+
+def command_acquire(args: argparse.Namespace) -> None:
+    config, samples, fs = _load_and_frontend(args.config, args.input)
+    profile = get_signal_profile(config.signal_profile)
+    manager = AcquisitionManager(profile, SyntheticCodeProvider(), fs, config.acquisition)
+    results = manager.acquire(samples, config.component, config.prns)
+    payload = [asdict(result) for result in results]
+    text = json.dumps(payload, indent=2)
+    print(text)
+    if args.output:
+        Path(args.output).write_text(text, encoding="utf-8")
+
+
+def command_track(args: argparse.Namespace) -> None:
+    config, samples, fs = _load_and_frontend(args.config, args.input)
+    acquisition = _result_from_json(args.acquisition_result)
+    channel = TrackingChannel(get_signal_profile(config.signal_profile), SyntheticCodeProvider(), fs, config.tracking, acquisition, args.start_sample)
+    measurements = channel.process(samples[args.start_sample :])
+    if args.output:
+        export_tracking_csv(args.output, measurements)
+    if measurements:
+        print(json.dumps(asdict(measurements[-1]), indent=2, default=str))
+
+
+def command_run(args: argparse.Namespace) -> None:
+    config, samples, fs = _load_and_frontend(args.config, args.input)
+    profile = get_signal_profile(config.signal_profile)
+    provider = SyntheticCodeProvider()
+    acquisition_manager = AcquisitionManager(profile, provider, fs, config.acquisition)
+    results = acquisition_manager.acquire(samples, config.component, config.prns)
+    detected = [result for result in results if result.detected]
+    if not detected:
+        raise SystemExit("no configured PRN passed the acquisition threshold")
+    consumed = acquisition_manager.engine.coherent_samples * config.acquisition.noncoherent_accumulations
+    summary = []
+    for result in detected:
+        channel = TrackingChannel(profile, provider, fs, config.tracking, result, consumed)
+        measurements = channel.process(samples[consumed:])
+        summary.append({"acquisition": asdict(result), "last_tracking": asdict(measurements[-1]) if measurements else None})
+    print(json.dumps(summary, indent=2, default=str))
+
+
+def command_compare_fixed(args: argparse.Namespace) -> None:
+    config, samples, fs = _load_and_frontend(args.config, args.input)
+    profile = get_signal_profile(config.signal_profile)
+    provider = SyntheticCodeProvider()
+    engine = AcquisitionManager(profile, provider, fs, config.acquisition)
+    result, grid = engine.acquire_one(samples, config.component, config.prns[0])
+    count = engine.engine.coherent_samples
+    replica = e1_local_replica(profile, provider, config.component, config.prns[0], count, fs)
+    fixed = FixedPcpsAcquisition().search(samples[:count], replica, fs, grid.doppler_bins_hz)
+    reference = grid.power / config.acquisition.noncoherent_accumulations / count**2
+    comparison = compare_acquisition(reference, fixed, config.acquisition.detection_threshold)
+    print(json.dumps({"float_result": asdict(result), "comparison": comparison.to_dict()}, indent=2))
+
+
+def command_validate_signalsim(args: argparse.Namespace) -> None:
+    source = Path(args.signalsim_path).resolve() if args.signalsim_path else locate_signalsim(Path.cwd())
+    report, passed = validate_signalsim(source, args.config, args.output_dir, mode=args.mode)
+    print(json.dumps({"overall_pass": passed, "passes": report["passes"], "report": str(Path(args.output_dir).resolve() / "signalsim_validation_report.json")}, indent=2))
+    if not passed:
+        raise SystemExit(1)
+
+
+def build_parser() -> argparse.ArgumentParser:
+    parser = argparse.ArgumentParser(prog="galileo-rx")
+    parser.add_argument("--log-level", default="INFO")
+    commands = parser.add_subparsers(dest="command", required=True)
+    generate = commands.add_parser("generate")
+    generate.add_argument("--config", required=True)
+    generate.add_argument("--output", required=True)
+    generate.add_argument("--duration-ms", type=float, default=100.0)
+    generate.add_argument("--prn", type=int)
+    generate.add_argument("--code-delay-chips", type=float, default=100.0)
+    generate.add_argument("--doppler-hz", type=float, default=1500.0)
+    generate.add_argument("--doppler-rate-hz-s", type=float, default=0.0)
+    generate.add_argument("--carrier-phase-rad", type=float, default=0.0)
+    generate.add_argument("--amplitude", type=float, default=0.5)
+    generate.add_argument("--cn0-db-hz", type=float, default=48.0)
+    generate.add_argument("--seed", type=int, default=1)
+    generate.add_argument("--quantization-bits", type=int)
+    generate.add_argument("--clip-amplitude", type=float)
+    generate.set_defaults(handler=command_generate)
+    acquire = commands.add_parser("acquire")
+    acquire.add_argument("--config", required=True)
+    acquire.add_argument("--input", required=True)
+    acquire.add_argument("--output")
+    acquire.set_defaults(handler=command_acquire)
+    track = commands.add_parser("track")
+    track.add_argument("--config", required=True)
+    track.add_argument("--input", required=True)
+    track.add_argument("--acquisition-result", required=True)
+    track.add_argument("--start-sample", type=int, default=0)
+    track.add_argument("--output")
+    track.set_defaults(handler=command_track)
+    run = commands.add_parser("run")
+    run.add_argument("--config", required=True)
+    run.add_argument("--input", required=True)
+    run.set_defaults(handler=command_run)
+    compare = commands.add_parser("compare-fixed")
+    compare.add_argument("--config", required=True)
+    compare.add_argument("--input", required=True)
+    compare.set_defaults(handler=command_compare_fixed)
+    validate = commands.add_parser("validate-signalsim")
+    validate.add_argument("--signalsim-path")
+    validate.add_argument("--config", default="configs/signalsim_validation.yaml")
+    validate.add_argument("--output-dir", default="reports/signalsim_validation")
+    validate.add_argument("--mode", choices=["quick", "full"])
+    validate.set_defaults(handler=command_validate_signalsim)
+    return parser
+
+
+def main(argv: list[str] | None = None) -> None:
+    parser = build_parser()
+    args = parser.parse_args(argv)
+    logging.basicConfig(level=getattr(logging, args.log_level.upper()), format="%(levelname)s %(name)s: %(message)s")
+    args.handler(args)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/galileo_rx/config.py b/src/galileo_rx/config.py
new file mode 100644
index 0000000..98dbfd7
--- /dev/null
+++ b/src/galileo_rx/config.py
@@ -0,0 +1,177 @@
+"""Typed configuration and strict YAML loading."""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field, fields
+from pathlib import Path
+from typing import Any, Literal, TypeVar
+
+import yaml
+
+T = TypeVar("T")
+
+
+@dataclass(slots=True)
+class RfConfig:
+    sample_format: str = "complex128"
+    input_is_real_if: bool = False
+    sampling_frequency_hz: float = 16.368e6
+    intermediate_frequency_hz: float = 4.092e6
+    sample_bit_width: int = 8
+    sample_endianness: Literal["little", "big"] = "little"
+
+    def validate(self) -> None:
+        if self.sampling_frequency_hz <= 0:
+            raise ValueError("sampling_frequency_hz must be positive")
+        if self.input_is_real_if and not 0 < self.intermediate_frequency_hz < self.sampling_frequency_hz / 2:
+            raise ValueError("real-IF intermediate_frequency_hz must lie between DC and Nyquist")
+        if not 2 <= self.sample_bit_width <= 32:
+            raise ValueError("sample_bit_width must be in [2, 32]")
+
+
+@dataclass(slots=True)
+class AcquisitionConfig:
+    doppler_min_hz: float = -10_000.0
+    doppler_max_hz: float = 10_000.0
+    doppler_step_hz: float = 250.0
+    coherent_integration_ms: float = 4.0
+    noncoherent_accumulations: int = 5
+    detection_threshold: float = 2.5
+    peak_exclusion_chips: float = 1.0
+    fft_length: int | None = None
+    zero_padding_mode: Literal["none", "next_power_of_two", "explicit"] = "next_power_of_two"
+    metric: Literal["peak_to_second", "peak_to_mean", "cfar"] = "peak_to_second"
+    parallelism: Literal["sequential", "doppler_vectorized", "prn_vectorized", "batched"] = "sequential"
+    doppler_batch_size: int = 8
+    preserve_complex_sums: bool = False
+    bit_transition_mode: Literal["none", "hypothesis", "differential"] = "none"
+    secondary_code_mode: Literal["none", "wipeoff", "search"] = "none"
+    parabolic_interpolation: bool = True
+    boc_side_peak_strategy: Literal["flag", "prefer_main", "none"] = "flag"
+    code_doppler_aiding: bool = True
+
+    def validate(self) -> None:
+        if self.doppler_max_hz < self.doppler_min_hz or self.doppler_step_hz <= 0:
+            raise ValueError("invalid Doppler search range or step")
+        if self.coherent_integration_ms <= 0 or self.noncoherent_accumulations < 1:
+            raise ValueError("integration settings must be positive")
+        if self.peak_exclusion_chips <= 0 or self.detection_threshold <= 0:
+            raise ValueError("detector parameters must be positive")
+        if self.zero_padding_mode == "explicit" and self.fft_length is None:
+            raise ValueError("explicit zero padding requires fft_length")
+
+
+@dataclass(slots=True)
+class TrackingConfig:
+    integration_ms: float = 4.0
+    early_late_spacing_chips: float = 0.25
+    very_early_late_spacing_chips: float = 0.75
+    dll_noise_bandwidth_hz: float = 1.0
+    pll_noise_bandwidth_hz: float = 15.0
+    fll_noise_bandwidth_hz: float = 20.0
+    pll_order: int = 3
+    dll_order: int = 2
+    use_fll_assist: bool = True
+    pull_in_duration_ms: float = 500.0
+    damping_ratio: float = 0.707
+    carrier_aiding: bool = True
+    secondary_code_mode: Literal["none", "wipeoff", "search"] = "wipeoff"
+    loss_of_lock_epochs: int = 10
+    weak_signal_cn0_db_hz: float = 25.0
+
+    def validate(self) -> None:
+        if self.integration_ms <= 0:
+            raise ValueError("tracking integration_ms must be positive")
+        if not 0 < self.early_late_spacing_chips < self.very_early_late_spacing_chips:
+            raise ValueError("tap spacings must satisfy 0 < E/L < VE/VL")
+        if self.pll_order not in (2, 3) or self.dll_order not in (1, 2):
+            raise ValueError("supported PLL orders are 2/3 and DLL orders are 1/2")
+        if min(self.dll_noise_bandwidth_hz, self.pll_noise_bandwidth_hz, self.fll_noise_bandwidth_hz) <= 0:
+            raise ValueError("loop noise bandwidths must be positive")
+
+
+@dataclass(slots=True)
+class FrontendConfig:
+    remove_dc: bool = False
+    dc_alpha: float = 0.999
+    agc_enabled: bool = False
+    agc_target_rms: float = 0.5
+    fir_taps: list[float] = field(default_factory=list)
+    decimation: int = 1
+    nco_phase_width: int = 32
+    nco_lut_bits: int = 12
+
+
+@dataclass(slots=True)
+class FixedPointConfig:
+    enabled: bool = False
+    input_total_bits: int = 8
+    input_fractional_bits: int = 7
+    coefficient_total_bits: int = 16
+    coefficient_fractional_bits: int = 15
+    accumulator_total_bits: int = 32
+    accumulator_fractional_bits: int = 20
+    overflow: Literal["saturate", "wrap"] = "saturate"
+    rounding: Literal["nearest", "truncate", "convergent"] = "nearest"
+
+
+@dataclass(slots=True)
+class ReceiverConfig:
+    signal_profile: str = "GALILEO_E1"
+    component: Literal["E1B", "E1C"] = "E1C"
+    prns: list[int] = field(default_factory=lambda: [1])
+    rf: RfConfig = field(default_factory=RfConfig)
+    acquisition: AcquisitionConfig = field(default_factory=AcquisitionConfig)
+    tracking: TrackingConfig = field(default_factory=TrackingConfig)
+    frontend: FrontendConfig = field(default_factory=FrontendConfig)
+    fixed_point: FixedPointConfig = field(default_factory=FixedPointConfig)
+
+    def validate(self) -> None:
+        self.rf.validate()
+        self.acquisition.validate()
+        self.tracking.validate()
+        if not self.prns or any(prn <= 0 for prn in self.prns):
+            raise ValueError("prns must contain positive identifiers")
+        if self.acquisition.coherent_integration_ms > 4.0:
+            if self.component == "E1B" and self.acquisition.bit_transition_mode == "none":
+                raise ValueError("E1B coherent integration beyond 4 ms requires a bit-transition mode")
+            if self.component == "E1C" and self.acquisition.secondary_code_mode == "none":
+                raise ValueError("E1C coherent integration beyond 4 ms requires secondary-code handling")
+        if self.tracking.integration_ms > 4.0:
+            if self.component == "E1B":
+                raise ValueError("E1B tracking integration beyond 4 ms is unsafe without symbol synchronization")
+            if self.tracking.secondary_code_mode == "none":
+                raise ValueError("E1C tracking beyond 4 ms requires secondary-code handling")
+
+    def to_dict(self) -> dict[str, Any]:
+        return asdict(self)
+
+
+def _construct(cls: type[T], values: dict[str, Any] | None) -> T:
+    values = values or {}
+    known = {item.name for item in fields(cls)}
+    unknown = set(values) - known
+    if unknown:
+        raise ValueError(f"unknown {cls.__name__} fields: {sorted(unknown)}")
+    return cls(**values)
+
+
+def load_config(path: str | Path) -> ReceiverConfig:
+    with Path(path).open("r", encoding="utf-8") as stream:
+        raw = yaml.safe_load(stream) or {}
+    known = {item.name for item in fields(ReceiverConfig)}
+    unknown = set(raw) - known
+    if unknown:
+        raise ValueError(f"unknown ReceiverConfig fields: {sorted(unknown)}")
+    config = ReceiverConfig(
+        signal_profile=raw.get("signal_profile", "GALILEO_E1"),
+        component=raw.get("component", "E1C"),
+        prns=raw.get("prns", [1]),
+        rf=_construct(RfConfig, raw.get("rf")),
+        acquisition=_construct(AcquisitionConfig, raw.get("acquisition")),
+        tracking=_construct(TrackingConfig, raw.get("tracking")),
+        frontend=_construct(FrontendConfig, raw.get("frontend")),
+        fixed_point=_construct(FixedPointConfig, raw.get("fixed_point")),
+    )
+    config.validate()
+    return config
diff --git a/src/galileo_rx/diagnostics/__init__.py b/src/galileo_rx/diagnostics/__init__.py
new file mode 100644
index 0000000..43aea21
--- /dev/null
+++ b/src/galileo_rx/diagnostics/__init__.py
@@ -0,0 +1,2 @@
+"""Optional plots and machine-readable reports."""
+
diff --git a/src/galileo_rx/diagnostics/plots.py b/src/galileo_rx/diagnostics/plots.py
new file mode 100644
index 0000000..2be1c29
--- /dev/null
+++ b/src/galileo_rx/diagnostics/plots.py
@@ -0,0 +1,96 @@
+"""Headless-safe diagnostics; matplotlib is imported only on demand."""
+
+from __future__ import annotations
+
+from typing import Any
+
+import numpy as np
+
+
+def acquisition_map(power: np.ndarray, doppler_bins_hz: np.ndarray, title: str = "Acquisition map") -> Any:
+    import matplotlib.pyplot as plt
+
+    figure, axis = plt.subplots()
+    image = axis.imshow(power, aspect="auto", origin="lower", extent=[0, power.shape[1], doppler_bins_hz[0], doppler_bins_hz[-1]])
+    axis.set(xlabel="Code phase (samples)", ylabel="Doppler (Hz)", title=title)
+    figure.colorbar(image, ax=axis, label="Correlation power")
+    return figure
+
+
+def acquisition_profiles(power: np.ndarray, doppler_bins_hz: np.ndarray) -> Any:
+    import matplotlib.pyplot as plt
+
+    doppler_index, code_index = np.unravel_index(int(np.argmax(power)), power.shape)
+    figure, axes = plt.subplots(1, 2)
+    axes[0].plot(power[doppler_index])
+    axes[0].set(xlabel="Code phase (samples)", ylabel="Power")
+    axes[1].plot(doppler_bins_hz, power[:, code_index])
+    axes[1].set(xlabel="Doppler (Hz)", ylabel="Power")
+    return figure
+
+
+def acquisition_peak_neighborhood(power: np.ndarray, samples_per_chip: float, span_chips: float = 2.0) -> Any:
+    """Circular peak neighborhood including the BOC half-chip region."""
+    import matplotlib.pyplot as plt
+
+    doppler_index, code_index = np.unravel_index(int(np.argmax(power)), power.shape)
+    radius = max(1, int(np.ceil(span_chips * samples_per_chip)))
+    offsets = np.arange(-radius, radius + 1)
+    values = power[doppler_index, (code_index + offsets) % power.shape[1]]
+    figure, axis = plt.subplots()
+    axis.plot(offsets / samples_per_chip, values / np.max(values), marker=".")
+    axis.axvline(-0.5, color="tab:red", linestyle="--", alpha=0.5)
+    axis.axvline(0.5, color="tab:red", linestyle="--", alpha=0.5)
+    axis.set(xlabel="Offset from peak (chips)", ylabel="Normalized power", title="Peak and BOC side-peak neighborhood")
+    return figure
+
+
+def prompt_constellation(measurements: list[Any], ignored_epochs: int = 0) -> Any:
+    import matplotlib.pyplot as plt
+
+    selected = measurements[ignored_epochs:]
+    figure, axis = plt.subplots()
+    axis.scatter([item.prompt_i for item in selected], [item.prompt_q for item in selected], s=5, alpha=0.5)
+    axis.set(xlabel="Prompt I", ylabel="Prompt Q", title="Prompt correlator constellation")
+    axis.set_aspect("equal", adjustable="datalim")
+    return figure
+
+
+def tracking_diagnostics(measurements: list[Any]) -> Any:
+    import matplotlib.pyplot as plt
+
+    time_s = [item.time_s for item in measurements]
+    figure, axes = plt.subplots(4, 2, sharex=True)
+    series = [
+        ("Prompt I/Q", [item.prompt_i for item in measurements], [item.prompt_q for item in measurements]),
+        ("Early/Prompt/Late magnitudes", [item.early_magnitude for item in measurements], [np.hypot(item.prompt_i, item.prompt_q) for item in measurements], [item.late_magnitude for item in measurements]),
+        ("PLL (rad)", [item.pll_error_rad for item in measurements], None),
+        ("FLL (Hz)", [item.fll_error_hz for item in measurements], None),
+        ("DLL (chips)", [item.dll_error_chips for item in measurements], None),
+        ("Carrier frequency (Hz)", [item.carrier_frequency_hz for item in measurements], None),
+        ("C/N0 (dB-Hz)", [np.nan if item.cn0_db_hz is None else item.cn0_db_hz for item in measurements], None),
+        ("Lock metrics", [item.carrier_lock_metric for item in measurements], [item.code_lock_metric for item in measurements]),
+    ]
+    for axis, item in zip(axes.flat, series):
+        title, first, *additional = item
+        axis.plot(time_s, first)
+        for second in additional:
+            if second is not None:
+                axis.plot(time_s, second)
+        axis.set_title(title)
+    axes[-1, 0].set_xlabel("Time (s)")
+    axes[-1, 1].set_xlabel("Time (s)")
+    figure.tight_layout()
+    return figure
+
+
+def fixed_error(reference: np.ndarray, fixed: np.ndarray, overflow_indices: np.ndarray | None = None) -> Any:
+    import matplotlib.pyplot as plt
+
+    figure, axis = plt.subplots()
+    axis.plot(np.asarray(fixed) - np.asarray(reference), label="fixed - float")
+    if overflow_indices is not None and overflow_indices.size:
+        axis.scatter(overflow_indices, np.zeros_like(overflow_indices), marker="x", label="overflow")
+    axis.set(xlabel="Sample", ylabel="Error", title="Fixed-point error")
+    axis.legend()
+    return figure
diff --git a/src/galileo_rx/diagnostics/reports.py b/src/galileo_rx/diagnostics/reports.py
new file mode 100644
index 0000000..5208514
--- /dev/null
+++ b/src/galileo_rx/diagnostics/reports.py
@@ -0,0 +1,32 @@
+"""Diagnostics export without a plotting dependency."""
+
+from __future__ import annotations
+
+import csv
+import json
+from dataclasses import asdict, is_dataclass
+from pathlib import Path
+from typing import Any
+
+import numpy as np
+
+
+def export_json(path: str | Path, value: Any) -> None:
+    payload = asdict(value) if is_dataclass(value) else value
+    Path(path).write_text(json.dumps(payload, indent=2, default=str), encoding="utf-8")
+
+
+def export_tracking_csv(path: str | Path, measurements: list[Any]) -> None:
+    if not measurements:
+        Path(path).write_text("", encoding="utf-8")
+        return
+    rows = [asdict(item) for item in measurements]
+    with Path(path).open("w", newline="", encoding="utf-8") as stream:
+        writer = csv.DictWriter(stream, fieldnames=list(rows[0]))
+        writer.writeheader()
+        writer.writerows(rows)
+
+
+def export_numpy(path: str | Path, **arrays: np.ndarray) -> None:
+    np.savez(Path(path), **arrays)
+
diff --git a/src/galileo_rx/fixed_point/__init__.py b/src/galileo_rx/fixed_point/__init__.py
new file mode 100644
index 0000000..1a2967c
--- /dev/null
+++ b/src/galileo_rx/fixed_point/__init__.py
@@ -0,0 +1,7 @@
+"""Bit-true signed fixed-point models."""
+
+from .formats import FixedFormat, OverflowMode, RoundingMode
+from .fixed_fft import FixedRadix2Fft
+from .quantizer import Quantizer
+
+__all__ = ["FixedFormat", "OverflowMode", "RoundingMode", "Quantizer", "FixedRadix2Fft"]
diff --git a/src/galileo_rx/fixed_point/bittrue_pipeline.py b/src/galileo_rx/fixed_point/bittrue_pipeline.py
new file mode 100644
index 0000000..fd65923
--- /dev/null
+++ b/src/galileo_rx/fixed_point/bittrue_pipeline.py
@@ -0,0 +1,65 @@
+"""Numerical comparison and word-length sweep utilities."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, asdict
+
+import numpy as np
+import numpy.typing as npt
+
+from .fixed_acquisition import FixedPcpsAcquisition
+from .formats import FixedFormat
+
+
+@dataclass(slots=True)
+class NumericComparison:
+    absolute_error_mean: float
+    relative_error_mean: float
+    rms_error: float
+    peak_error: float
+    acquisition_decision_agreement: bool | None = None
+    doppler_bin_agreement: bool | None = None
+    code_phase_agreement: bool | None = None
+    overflow_count: int = 0
+
+    def to_dict(self) -> dict[str, float | bool | None]:
+        return asdict(self)
+
+
+def compare_arrays(reference: npt.ArrayLike, fixed: npt.ArrayLike, overflow_count: int = 0) -> NumericComparison:
+    reference_array = np.asarray(reference, dtype=np.float64)
+    fixed_array = np.asarray(fixed, dtype=np.float64)
+    error = fixed_array - reference_array
+    absolute = np.abs(error)
+    relative = absolute / np.maximum(np.abs(reference_array), np.finfo(float).eps)
+    return NumericComparison(float(np.mean(absolute)), float(np.mean(relative)), float(np.sqrt(np.mean(error**2))), float(np.max(absolute)), overflow_count=overflow_count)
+
+
+def compare_acquisition(reference_power: npt.ArrayLike, fixed_grid, threshold: float) -> NumericComparison:
+    comparison = compare_arrays(reference_power, fixed_grid.power, fixed_grid.overflow_count)
+    reference_peak = np.unravel_index(int(np.argmax(reference_power)), np.asarray(reference_power).shape)
+    reference_metric = float(np.max(reference_power) / max(np.mean(reference_power), np.finfo(float).tiny))
+    fixed_metric = float(np.max(fixed_grid.power) / max(np.mean(fixed_grid.power), np.finfo(float).tiny))
+    comparison.acquisition_decision_agreement = bool((reference_metric >= threshold) == (fixed_metric >= threshold))
+    comparison.doppler_bin_agreement = bool(reference_peak[0] == fixed_grid.peak_doppler_index)
+    comparison.code_phase_agreement = bool(reference_peak[1] == fixed_grid.peak_code_index)
+    return comparison
+
+
+def sweep_acquisition_word_lengths(samples: npt.ArrayLike, replica: npt.ArrayLike, sampling_frequency_hz: float, doppler_bins_hz: npt.ArrayLike, bit_widths: list[int]) -> list[dict[str, float | int | bool | None]]:
+    array = np.asarray(samples, dtype=np.complex128)
+    code = np.asarray(replica)
+    time_s = np.arange(array.size) / sampling_frequency_hz
+    bins = np.asarray(doppler_bins_hz)
+    reference = np.asarray([
+        np.abs(np.fft.ifft(np.fft.fft(array * np.exp(-2j * np.pi * doppler * time_s)) * np.conjugate(np.fft.fft(code)))) ** 2
+        for doppler in bins
+    ])
+    reports = []
+    for bits in bit_widths:
+        model = FixedPcpsAcquisition(FixedFormat(bits, bits - 2), FixedFormat(bits + 8, bits), FixedFormat(48, 16, signed=False))
+        grid = model.search(array, code, sampling_frequency_hz, bins)
+        report = compare_acquisition(reference, grid, 2.5).to_dict()
+        report["input_bits"] = bits
+        reports.append(report)
+    return reports
diff --git a/src/galileo_rx/fixed_point/fixed_acquisition.py b/src/galileo_rx/fixed_point/fixed_acquisition.py
new file mode 100644
index 0000000..ffa0e69
--- /dev/null
+++ b/src/galileo_rx/fixed_point/fixed_acquisition.py
@@ -0,0 +1,69 @@
+"""Quantized PCPS boundary model with explicit FFT scaling."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+import numpy.typing as npt
+
+from .formats import FixedFormat, OverflowMode, RoundingMode
+from .quantizer import Quantizer, dequantize_complex, quantize_complex
+
+
+@dataclass(slots=True)
+class FixedAcquisitionGrid:
+    power: npt.NDArray[np.float64]
+    peak_doppler_index: int
+    peak_code_index: int
+    overflow_count: int
+
+
+class FixedPcpsAcquisition:
+    """Bit-true I/O/product/accumulator model around a normalized FFT primitive.
+
+    The transform primitive models an FFT IP configured with deterministic 1/N
+    scaling. Vendor-specific butterfly truncation is intentionally delegated to
+    the cycle/RTL FFT model selected during implementation.
+    """
+
+    def __init__(
+        self,
+        sample_format: FixedFormat = FixedFormat(10, 8),
+        fft_format: FixedFormat = FixedFormat(20, 12),
+        power_format: FixedFormat = FixedFormat(48, 16, signed=False),
+        overflow: OverflowMode | str = OverflowMode.SATURATE,
+        rounding: RoundingMode | str = RoundingMode.NEAREST,
+    ) -> None:
+        self.input_q = Quantizer(sample_format, overflow, rounding)
+        self.fft_q = Quantizer(fft_format, overflow, rounding)
+        self.power_q = Quantizer(power_format, overflow, rounding)
+        self.sample_format = sample_format
+        self.fft_format = fft_format
+
+    def search(self, samples: npt.ArrayLike, local_replica: npt.ArrayLike, sampling_frequency_hz: float, doppler_bins_hz: npt.ArrayLike) -> FixedAcquisitionGrid:
+        array = np.asarray(samples, dtype=np.complex128)
+        replica = np.asarray(local_replica, dtype=np.float64)
+        if array.size != replica.size:
+            raise ValueError("fixed acquisition samples and replica must have equal length")
+        in_r, in_i = quantize_complex(array, self.input_q)
+        quantized_samples = dequantize_complex(in_r, in_i, self.sample_format)
+        code_i = self.input_q.quantize(replica)
+        code = self.input_q.dequantize(code_i)
+        code_spectrum = np.conjugate(np.fft.fft(code) / array.size)
+        time_s = np.arange(array.size) / sampling_frequency_hz
+        bins = np.asarray(doppler_bins_hz, dtype=np.float64)
+        power = np.empty((bins.size, array.size), dtype=np.float64)
+        for index, doppler_hz in enumerate(bins):
+            mixed = quantized_samples * np.exp(-2j * np.pi * doppler_hz * time_s)
+            spectrum = np.fft.fft(mixed) / array.size
+            sr, si = quantize_complex(spectrum, self.fft_q)
+            spectrum_q = dequantize_complex(sr, si, self.fft_format)
+            product = spectrum_q * code_spectrum
+            pr, pi = quantize_complex(product, self.fft_q)
+            correlation = np.fft.ifft(dequantize_complex(pr, pi, self.fft_format)) * array.size
+            power[index] = self.power_q.dequantize(self.power_q.quantize(np.abs(correlation) ** 2))
+        peak = np.unravel_index(int(np.argmax(power)), power.shape)
+        overflow_count = self.input_q.statistics.overflow_count + self.fft_q.statistics.overflow_count + self.power_q.statistics.overflow_count
+        return FixedAcquisitionGrid(power, int(peak[0]), int(peak[1]), overflow_count)
+
diff --git a/src/galileo_rx/fixed_point/fixed_correlator.py b/src/galileo_rx/fixed_point/fixed_correlator.py
new file mode 100644
index 0000000..468368f
--- /dev/null
+++ b/src/galileo_rx/fixed_point/fixed_correlator.py
@@ -0,0 +1,62 @@
+"""Integer mixer and correlator accumulation model."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+import numpy.typing as npt
+
+from .fixed_nco import FixedNco
+from .fixed_mixer import complex_mix_down
+from .formats import FixedFormat, OverflowMode, RoundingMode
+from .quantizer import Quantizer, quantize_complex
+
+
+@dataclass(slots=True)
+class FixedCorrelationResult:
+    prompt_real: int
+    prompt_imag: int
+    fractional_bits: int
+    overflow_count: int
+
+    @property
+    def complex_value(self) -> complex:
+        return complex(self.prompt_real, self.prompt_imag) / (1 << self.fractional_bits)
+
+
+class FixedCorrelator:
+    def __init__(
+        self,
+        sampling_frequency_hz: float,
+        carrier_frequency_hz: float,
+        sample_format: FixedFormat = FixedFormat(8, 7),
+        nco_format: FixedFormat = FixedFormat(16, 15),
+        accumulator_format: FixedFormat = FixedFormat(40, 22),
+        overflow: OverflowMode | str = OverflowMode.SATURATE,
+        rounding: RoundingMode | str = RoundingMode.NEAREST,
+    ) -> None:
+        self.sample_quantizer = Quantizer(sample_format, overflow, rounding)
+        self.nco = FixedNco(sampling_frequency_hz, carrier_frequency_hz, output_format=nco_format)
+        self.accumulator_quantizer = Quantizer(accumulator_format, overflow, rounding)
+        self.sample_format = sample_format
+        self.nco_format = nco_format
+        self.accumulator_format = accumulator_format
+
+    def correlate_prompt(self, samples: npt.ArrayLike, replica: npt.ArrayLike) -> FixedCorrelationResult:
+        array = np.asarray(samples, dtype=np.complex128)
+        local = np.asarray(replica, dtype=np.int64)
+        if array.size != local.size or not set(np.unique(local).tolist()) <= {-1, 1}:
+            raise ValueError("replica must be a same-length +/-1 sequence")
+        sample_real, sample_imag = quantize_complex(array, self.sample_quantizer)
+        cosine, sine = self.nco.generate(array.size)
+        mixer_format = FixedFormat(
+            min(62, self.sample_format.total_bits + self.nco_format.total_bits + 1),
+            self.sample_format.fractional_bits + self.nco_format.fractional_bits,
+        )
+        mixed = complex_mix_down(sample_real, sample_imag, cosine, sine, self.sample_format, self.nco_format, mixer_format)
+        real_sum = int(np.sum(mixed.real * local, dtype=object))
+        imag_sum = int(np.sum(mixed.imag * local, dtype=object))
+        real_q = int(self.accumulator_quantizer.requantize_integer([real_sum], mixer_format.fractional_bits)[0])
+        imag_q = int(self.accumulator_quantizer.requantize_integer([imag_sum], mixer_format.fractional_bits)[0])
+        return FixedCorrelationResult(real_q, imag_q, self.accumulator_format.fractional_bits, self.accumulator_quantizer.statistics.overflow_count)
diff --git a/src/galileo_rx/fixed_point/fixed_fft.py b/src/galileo_rx/fixed_point/fixed_fft.py
new file mode 100644
index 0000000..631a9dd
--- /dev/null
+++ b/src/galileo_rx/fixed_point/fixed_fft.py
@@ -0,0 +1,100 @@
+"""Radix-2 stage-quantized FFT/IFFT oracle for RTL verification."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+import numpy.typing as npt
+
+from .formats import FixedFormat, OverflowMode, RoundingMode
+from .quantizer import Quantizer, dequantize_complex, quantize_complex
+
+
+@dataclass(slots=True)
+class FixedFftResult:
+    real: npt.NDArray[np.int64]
+    imag: npt.NDArray[np.int64]
+    fixed_format: FixedFormat
+    overflow_count: int
+
+    def dequantize(self) -> npt.NDArray[np.complex128]:
+        return dequantize_complex(self.real, self.imag, self.fixed_format)
+
+
+class FixedRadix2Fft:
+    """Decimation-in-time FFT with one-bit scaling at every stage.
+
+    Forward output equals ``numpy.fft.fft(x) / N`` apart from declared
+    coefficient and butterfly quantization. The inverse uses the conjugation
+    identity, so it has NumPy IFFT scaling.
+    """
+
+    def __init__(
+        self,
+        data_format: FixedFormat = FixedFormat(20, 15),
+        twiddle_format: FixedFormat = FixedFormat(16, 15),
+        overflow: OverflowMode | str = OverflowMode.SATURATE,
+        rounding: RoundingMode | str = RoundingMode.CONVERGENT,
+    ) -> None:
+        self.data_format = data_format
+        self.twiddle_format = twiddle_format
+        self.overflow = overflow
+        self.rounding = rounding
+        self.data_quantizer = Quantizer(data_format, overflow, rounding)
+        self.twiddle_quantizer = Quantizer(twiddle_format, overflow, rounding)
+
+    @staticmethod
+    def _bit_reversed_indices(length: int) -> npt.NDArray[np.int64]:
+        bits = length.bit_length() - 1
+        return np.asarray([int(f"{index:0{bits}b}"[::-1], 2) for index in range(length)], dtype=np.int64)
+
+    def _forward_integers(self, real: npt.NDArray[np.int64], imag: npt.NDArray[np.int64]) -> FixedFftResult:
+        length = real.size
+        if length == 0 or length & (length - 1):
+            raise ValueError("fixed radix-2 FFT length must be a nonzero power of two")
+        order = self._bit_reversed_indices(length)
+        out_real = real[order].astype(np.int64, copy=True)
+        out_imag = imag[order].astype(np.int64, copy=True)
+        butterfly_q = Quantizer(self.data_format, self.overflow, self.rounding)
+        size = 2
+        while size <= length:
+            half = size // 2
+            angle = -2.0 * np.pi * np.arange(half) / size
+            twiddle_real = self.twiddle_quantizer.quantize(np.cos(angle))
+            twiddle_imag = self.twiddle_quantizer.quantize(np.sin(angle))
+            product_fraction = self.data_format.fractional_bits + self.twiddle_format.fractional_bits
+            for first in range(0, length, size):
+                upper = slice(first, first + half)
+                lower = slice(first + half, first + size)
+                u_real = out_real[upper].copy()
+                u_imag = out_imag[upper].copy()
+                lower_real = out_real[lower].copy()
+                lower_imag = out_imag[lower].copy()
+                t_real = butterfly_q.requantize_integer(lower_real * twiddle_real - lower_imag * twiddle_imag, product_fraction)
+                t_imag = butterfly_q.requantize_integer(lower_real * twiddle_imag + lower_imag * twiddle_real, product_fraction)
+                # One-bit scale per stage bounds growth; source fractional+1
+                # makes the integer requantizer perform a rounded divide by two.
+                out_real[upper] = butterfly_q.requantize_integer(u_real + t_real, self.data_format.fractional_bits + 1)
+                out_imag[upper] = butterfly_q.requantize_integer(u_imag + t_imag, self.data_format.fractional_bits + 1)
+                out_real[lower] = butterfly_q.requantize_integer(u_real - t_real, self.data_format.fractional_bits + 1)
+                out_imag[lower] = butterfly_q.requantize_integer(u_imag - t_imag, self.data_format.fractional_bits + 1)
+            size *= 2
+        # Q1.(W-1) maps the mathematical +1 twiddle to its maximum positive
+        # code at table-build time; that coefficient approximation is not a
+        # runtime datapath overflow.
+        overflow_count = (
+            self.data_quantizer.statistics.overflow_count
+            + butterfly_q.statistics.overflow_count
+        )
+        return FixedFftResult(out_real, out_imag, self.data_format, overflow_count)
+
+    def forward(self, values: npt.ArrayLike) -> FixedFftResult:
+        real, imag = quantize_complex(values, self.data_quantizer)
+        return self._forward_integers(real, imag)
+
+    def inverse(self, values: npt.ArrayLike) -> FixedFftResult:
+        array = np.asarray(values, dtype=np.complex128)
+        real, imag = quantize_complex(np.conjugate(array), self.data_quantizer)
+        forward = self._forward_integers(real, imag)
+        return FixedFftResult(forward.real, -forward.imag, forward.fixed_format, forward.overflow_count)
diff --git a/src/galileo_rx/fixed_point/fixed_loop_filter.py b/src/galileo_rx/fixed_point/fixed_loop_filter.py
new file mode 100644
index 0000000..ec46540
--- /dev/null
+++ b/src/galileo_rx/fixed_point/fixed_loop_filter.py
@@ -0,0 +1,59 @@
+"""Bit-true tracking loop filter states and coefficients."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+from .formats import FixedFormat, OverflowMode, RoundingMode
+from .quantizer import Quantizer
+from galileo_rx.tracking.loop_filters import second_order_natural_frequency_rad_s
+
+
+@dataclass(slots=True)
+class FixedSecondOrderLoopFilter:
+    noise_bandwidth_hz: float
+    integration_time_s: float
+    damping_ratio: float = 0.707
+    error_format: FixedFormat = FixedFormat(24, 18)
+    coefficient_format: FixedFormat = FixedFormat(24, 16)
+    state_format: FixedFormat = FixedFormat(32, 20)
+    overflow: OverflowMode | str = OverflowMode.SATURATE
+    rounding: RoundingMode | str = RoundingMode.CONVERGENT
+    integrator_integer: int = 0
+    overflow_count: int = 0
+    _error_q: Quantizer = field(init=False, repr=False)
+    _coefficient_q: Quantizer = field(init=False, repr=False)
+    _state_q: Quantizer = field(init=False, repr=False)
+    proportional_gain_integer: int = field(init=False)
+    integral_step_gain_integer: int = field(init=False)
+
+    def __post_init__(self) -> None:
+        if self.integration_time_s <= 0:
+            raise ValueError("integration_time_s must be positive")
+        self._error_q = Quantizer(self.error_format, self.overflow, self.rounding)
+        self._coefficient_q = Quantizer(self.coefficient_format, self.overflow, self.rounding)
+        self._state_q = Quantizer(self.state_format, self.overflow, self.rounding)
+        wn = second_order_natural_frequency_rad_s(self.noise_bandwidth_hz, self.damping_ratio)
+        self.proportional_gain_integer = int(self._coefficient_q.quantize([2 * self.damping_ratio * wn])[0])
+        self.integral_step_gain_integer = int(self._coefficient_q.quantize([wn**2 * self.integration_time_s])[0])
+
+    def update(self, error: float) -> float:
+        error_integer = int(self._error_q.quantize([error])[0])
+        product_fraction = self.error_format.fractional_bits + self.coefficient_format.fractional_bits
+        integral_delta = int(self._state_q.requantize_integer([error_integer * self.integral_step_gain_integer], product_fraction)[0])
+        self.integrator_integer = int(self._state_q.requantize_integer(
+            [self.integrator_integer + integral_delta], self.state_format.fractional_bits
+        )[0])
+        proportional = int(self._state_q.requantize_integer(
+            [error_integer * self.proportional_gain_integer], product_fraction
+        )[0])
+        output_integer = int(self._state_q.requantize_integer(
+            [proportional + self.integrator_integer], self.state_format.fractional_bits
+        )[0])
+        self.overflow_count = (
+            self._error_q.statistics.overflow_count
+            + self._coefficient_q.statistics.overflow_count
+            + self._state_q.statistics.overflow_count
+        )
+        return output_integer / self.state_format.scale
+
diff --git a/src/galileo_rx/fixed_point/fixed_mixer.py b/src/galileo_rx/fixed_point/fixed_mixer.py
new file mode 100644
index 0000000..b963cdf
--- /dev/null
+++ b/src/galileo_rx/fixed_point/fixed_mixer.py
@@ -0,0 +1,48 @@
+"""Standalone bit-true complex mixer primitive."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+import numpy.typing as npt
+
+from .formats import FixedFormat, OverflowMode, RoundingMode
+from .quantizer import Quantizer
+
+
+@dataclass(slots=True)
+class FixedComplex:
+    real: npt.NDArray[np.int64]
+    imag: npt.NDArray[np.int64]
+    fixed_format: FixedFormat
+    overflow_count: int
+
+    def dequantize(self) -> npt.NDArray[np.complex128]:
+        return (self.real.astype(np.float64) + 1j * self.imag.astype(np.float64)) / self.fixed_format.scale
+
+
+def complex_mix_down(
+    sample_real: npt.ArrayLike,
+    sample_imag: npt.ArrayLike,
+    carrier_cos: npt.ArrayLike,
+    carrier_sin: npt.ArrayLike,
+    sample_format: FixedFormat,
+    carrier_format: FixedFormat,
+    output_format: FixedFormat,
+    overflow: OverflowMode | str = OverflowMode.SATURATE,
+    rounding: RoundingMode | str = RoundingMode.NEAREST,
+) -> FixedComplex:
+    """Compute ``(I+jQ)*(cos-j*sin)`` from integer operands."""
+    i = np.asarray(sample_real, dtype=np.int64)
+    q = np.asarray(sample_imag, dtype=np.int64)
+    c = np.asarray(carrier_cos, dtype=np.int64)
+    s = np.asarray(carrier_sin, dtype=np.int64)
+    if not (i.shape == q.shape == c.shape == s.shape):
+        raise ValueError("fixed mixer operands must have equal shapes")
+    product_fractional_bits = sample_format.fractional_bits + carrier_format.fractional_bits
+    quantizer = Quantizer(output_format, overflow, rounding)
+    real = quantizer.requantize_integer(i * c + q * s, product_fractional_bits)
+    imag = quantizer.requantize_integer(q * c - i * s, product_fractional_bits)
+    return FixedComplex(real, imag, output_format, quantizer.statistics.overflow_count)
+
diff --git a/src/galileo_rx/fixed_point/fixed_nco.py b/src/galileo_rx/fixed_point/fixed_nco.py
new file mode 100644
index 0000000..7d6943b
--- /dev/null
+++ b/src/galileo_rx/fixed_point/fixed_nco.py
@@ -0,0 +1,44 @@
+"""Bit-true phase word and quantized carrier LUT model."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+import numpy as np
+import numpy.typing as npt
+
+from .formats import FixedFormat
+from .quantizer import Quantizer
+
+
+@dataclass(slots=True)
+class FixedNco:
+    sampling_frequency_hz: float
+    frequency_hz: float
+    phase_width: int = 32
+    lut_bits: int = 10
+    output_format: FixedFormat = FixedFormat(16, 15)
+    phase_word: int = 0
+    _cos_lut: npt.NDArray[np.int64] = field(init=False, repr=False)
+    _sin_lut: npt.NDArray[np.int64] = field(init=False, repr=False)
+
+    def __post_init__(self) -> None:
+        if self.sampling_frequency_hz <= 0 or self.lut_bits > self.phase_width:
+            raise ValueError("invalid fixed NCO configuration")
+        phase = 2 * np.pi * np.arange(1 << self.lut_bits) / (1 << self.lut_bits)
+        quantizer = Quantizer(self.output_format)
+        self._cos_lut = quantizer.quantize(np.cos(phase))
+        self._sin_lut = quantizer.quantize(np.sin(phase))
+
+    @property
+    def frequency_control_word(self) -> int:
+        return int(round(self.frequency_hz / self.sampling_frequency_hz * (1 << self.phase_width)))
+
+    def generate(self, sample_count: int) -> tuple[npt.NDArray[np.int64], npt.NDArray[np.int64]]:
+        modulus = 1 << self.phase_width
+        fcw = self.frequency_control_word
+        words = np.asarray([(self.phase_word + index * fcw) % modulus for index in range(sample_count)], dtype=np.uint64)
+        address = words >> (self.phase_width - self.lut_bits)
+        self.phase_word = (self.phase_word + sample_count * fcw) % modulus
+        return self._cos_lut[address], self._sin_lut[address]
+
diff --git a/src/galileo_rx/fixed_point/formats.py b/src/galileo_rx/fixed_point/formats.py
new file mode 100644
index 0000000..0f01756
--- /dev/null
+++ b/src/galileo_rx/fixed_point/formats.py
@@ -0,0 +1,62 @@
+"""Fixed-point format declarations."""
+
+from dataclasses import dataclass
+from enum import Enum
+
+
+class OverflowMode(str, Enum):
+    SATURATE = "saturate"
+    WRAP = "wrap"
+
+
+class RoundingMode(str, Enum):
+    NEAREST = "nearest"
+    TRUNCATE = "truncate"
+    CONVERGENT = "convergent"
+
+
+@dataclass(frozen=True, slots=True)
+class FixedFormat:
+    total_bits: int
+    fractional_bits: int
+    signed: bool = True
+
+    def __post_init__(self) -> None:
+        if self.total_bits < 1 or self.fractional_bits < 0 or self.fractional_bits >= self.total_bits:
+            raise ValueError("fixed format requires total_bits >= 1 and 0 <= fractional_bits < total_bits")
+
+    @property
+    def minimum_integer(self) -> int:
+        return -(1 << (self.total_bits - 1)) if self.signed else 0
+
+    @property
+    def maximum_integer(self) -> int:
+        return (1 << (self.total_bits - int(self.signed))) - 1
+
+    @property
+    def scale(self) -> int:
+        return 1 << self.fractional_bits
+
+    @property
+    def lsb(self) -> float:
+        return 1.0 / self.scale
+
+
+STARTING_WORD_LENGTHS: dict[str, FixedFormat] = {
+    "input_samples": FixedFormat(8, 7),
+    "mixer_sine_cosine": FixedFormat(16, 15),
+    "mixer_output": FixedFormat(18, 15),
+    "fft_input": FixedFormat(18, 15),
+    "fft_twiddle": FixedFormat(16, 15),
+    "fft_stage_output": FixedFormat(20, 15),
+    "correlation_product": FixedFormat(36, 30),
+    "ifft_output": FixedFormat(28, 15),
+    "coherent_accumulator": FixedFormat(40, 15),
+    "noncoherent_accumulator": FixedFormat(56, 20, signed=False),
+    "carrier_phase_accumulator": FixedFormat(32, 0, signed=False),
+    "code_phase_accumulator": FixedFormat(48, 32, signed=False),
+    "loop_filter_state": FixedFormat(32, 20),
+    "frequency_control_word": FixedFormat(32, 0),
+    "discriminator_output": FixedFormat(24, 18),
+}
+
diff --git a/src/galileo_rx/fixed_point/quantizer.py b/src/galileo_rx/fixed_point/quantizer.py
new file mode 100644
index 0000000..95f8e1a
--- /dev/null
+++ b/src/galileo_rx/fixed_point/quantizer.py
@@ -0,0 +1,71 @@
+"""Two's-complement quantization with observable overflow and error."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+import numpy.typing as npt
+
+from .formats import FixedFormat, OverflowMode, RoundingMode
+
+
+@dataclass(slots=True)
+class QuantizationStatistics:
+    sample_count: int = 0
+    overflow_count: int = 0
+    squared_error_sum: float = 0.0
+    peak_error: float = 0.0
+
+    @property
+    def rms_error(self) -> float:
+        return float(np.sqrt(self.squared_error_sum / self.sample_count)) if self.sample_count else 0.0
+
+
+class Quantizer:
+    def __init__(self, fixed_format: FixedFormat, overflow: OverflowMode | str = OverflowMode.SATURATE, rounding: RoundingMode | str = RoundingMode.NEAREST) -> None:
+        self.format = fixed_format
+        self.overflow = OverflowMode(overflow)
+        self.rounding = RoundingMode(rounding)
+        self.statistics = QuantizationStatistics()
+
+    def _round(self, scaled: np.ndarray) -> np.ndarray:
+        if self.rounding == RoundingMode.NEAREST:
+            return np.floor(scaled + 0.5)
+        if self.rounding == RoundingMode.TRUNCATE:
+            return np.trunc(scaled)
+        return np.rint(scaled)  # IEEE ties-to-even is convergent rounding.
+
+    def quantize(self, values: npt.ArrayLike) -> npt.NDArray[np.int64]:
+        array = np.asarray(values, dtype=np.float64)
+        rounded = self._round(array * self.format.scale).astype(np.int64)
+        overflow_mask = (rounded < self.format.minimum_integer) | (rounded > self.format.maximum_integer)
+        self.statistics.overflow_count += int(np.count_nonzero(overflow_mask))
+        if self.overflow == OverflowMode.SATURATE:
+            quantized = np.clip(rounded, self.format.minimum_integer, self.format.maximum_integer)
+        else:
+            modulus = 1 << self.format.total_bits
+            quantized = (rounded - self.format.minimum_integer) % modulus + self.format.minimum_integer
+        restored = quantized.astype(np.float64) / self.format.scale
+        error = restored - array
+        self.statistics.sample_count += array.size
+        self.statistics.squared_error_sum += float(np.sum(error**2))
+        self.statistics.peak_error = max(self.statistics.peak_error, float(np.max(np.abs(error))) if error.size else 0.0)
+        return quantized.astype(np.int64)
+
+    def dequantize(self, integers: npt.ArrayLike) -> npt.NDArray[np.float64]:
+        return np.asarray(integers, dtype=np.float64) / self.format.scale
+
+    def requantize_integer(self, integers: npt.ArrayLike, source_fractional_bits: int) -> npt.NDArray[np.int64]:
+        values = np.asarray(integers, dtype=np.float64) / float(1 << source_fractional_bits)
+        return self.quantize(values)
+
+
+def quantize_complex(values: npt.ArrayLike, quantizer: Quantizer) -> tuple[npt.NDArray[np.int64], npt.NDArray[np.int64]]:
+    array = np.asarray(values, dtype=np.complex128)
+    return quantizer.quantize(array.real), quantizer.quantize(array.imag)
+
+
+def dequantize_complex(real: npt.ArrayLike, imag: npt.ArrayLike, fixed_format: FixedFormat) -> npt.NDArray[np.complex128]:
+    return (np.asarray(real, dtype=np.float64) + 1j * np.asarray(imag, dtype=np.float64)) / fixed_format.scale
+
diff --git a/src/galileo_rx/frontend/__init__.py b/src/galileo_rx/frontend/__init__.py
new file mode 100644
index 0000000..10b8793
--- /dev/null
+++ b/src/galileo_rx/frontend/__init__.py
@@ -0,0 +1,7 @@
+"""Streaming digital front-end blocks."""
+
+from .frontend_chain import FrontendChain
+from .mixer import PhaseAccumulatorNco
+
+__all__ = ["FrontendChain", "PhaseAccumulatorNco"]
+
diff --git a/src/galileo_rx/frontend/agc.py b/src/galileo_rx/frontend/agc.py
new file mode 100644
index 0000000..35ef7e4
--- /dev/null
+++ b/src/galileo_rx/frontend/agc.py
@@ -0,0 +1,24 @@
+"""Block RMS normalization with bounded gain."""
+
+import numpy as np
+import numpy.typing as npt
+
+
+class BlockAgc:
+    def __init__(self, target_rms: float = 0.5, smoothing: float = 0.9, min_gain: float = 1e-3, max_gain: float = 1e3) -> None:
+        if target_rms <= 0 or not 0 <= smoothing < 1:
+            raise ValueError("invalid AGC parameters")
+        self.target_rms = target_rms
+        self.smoothing = smoothing
+        self.min_gain = min_gain
+        self.max_gain = max_gain
+        self.gain = 1.0
+
+    def process(self, samples: npt.NDArray[np.generic]) -> npt.NDArray[np.complex128]:
+        array = np.asarray(samples, dtype=np.complex128)
+        rms = float(np.sqrt(np.mean(np.abs(array) ** 2))) if array.size else 0.0
+        desired = self.target_rms / max(rms, 1e-15)
+        desired = float(np.clip(desired, self.min_gain, self.max_gain))
+        self.gain = self.smoothing * self.gain + (1.0 - self.smoothing) * desired
+        return array * self.gain
+
diff --git a/src/galileo_rx/frontend/dc_blocker.py b/src/galileo_rx/frontend/dc_blocker.py
new file mode 100644
index 0000000..1fb66b5
--- /dev/null
+++ b/src/galileo_rx/frontend/dc_blocker.py
@@ -0,0 +1,25 @@
+"""First-order streaming DC blocker."""
+
+from __future__ import annotations
+
+import numpy as np
+import numpy.typing as npt
+
+
+class DcBlocker:
+    def __init__(self, alpha: float = 0.999) -> None:
+        if not 0 <= alpha < 1:
+            raise ValueError("DC blocker alpha must be in [0, 1)")
+        self.alpha = alpha
+        self.previous_input = 0j
+        self.previous_output = 0j
+
+    def process(self, samples: npt.NDArray[np.generic]) -> npt.NDArray[np.complex128]:
+        output = np.empty(samples.size, dtype=np.complex128)
+        for index, value in enumerate(np.asarray(samples, dtype=np.complex128)):
+            current = value - self.previous_input + self.alpha * self.previous_output
+            output[index] = current
+            self.previous_input = value
+            self.previous_output = current
+        return output
+
diff --git a/src/galileo_rx/frontend/decimator.py b/src/galileo_rx/frontend/decimator.py
new file mode 100644
index 0000000..fba24b2
--- /dev/null
+++ b/src/galileo_rx/frontend/decimator.py
@@ -0,0 +1,29 @@
+"""Stateful FIR and integer decimation."""
+
+from __future__ import annotations
+
+import numpy as np
+import numpy.typing as npt
+from scipy.signal import lfilter
+
+
+class FirDecimator:
+    def __init__(self, taps: list[float] | npt.NDArray[np.float64] | None = None, factor: int = 1) -> None:
+        if factor < 1:
+            raise ValueError("decimation factor must be >= 1")
+        self.taps = np.asarray(taps if taps is not None and len(taps) else [1.0], dtype=np.float64)
+        self.factor = factor
+        self._state = np.zeros(max(0, self.taps.size - 1), dtype=np.complex128)
+        self._decimation_phase = 0
+
+    def process(self, samples: npt.NDArray[np.generic]) -> npt.NDArray[np.complex128]:
+        array = np.asarray(samples, dtype=np.complex128)
+        if self.taps.size == 1:
+            filtered = array * self.taps[0]
+        else:
+            filtered, self._state = lfilter(self.taps, [1.0], array, zi=self._state)
+        start = (-self._decimation_phase) % self.factor
+        result = filtered[start::self.factor]
+        self._decimation_phase = (self._decimation_phase + array.size) % self.factor
+        return result
+
diff --git a/src/galileo_rx/frontend/frontend_chain.py b/src/galileo_rx/frontend/frontend_chain.py
new file mode 100644
index 0000000..7d5d9f3
--- /dev/null
+++ b/src/galileo_rx/frontend/frontend_chain.py
@@ -0,0 +1,42 @@
+"""Composable streaming RF-to-complex-baseband chain."""
+
+from __future__ import annotations
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.config import FrontendConfig, RfConfig
+from .agc import BlockAgc
+from .dc_blocker import DcBlocker
+from .decimator import FirDecimator
+from .mixer import ComplexMixer, PhaseAccumulatorNco
+
+
+class FrontendChain:
+    def __init__(self, rf: RfConfig, config: FrontendConfig) -> None:
+        self.rf = rf
+        self.config = config
+        self.dc = DcBlocker(config.dc_alpha) if config.remove_dc else None
+        self.agc = BlockAgc(config.agc_target_rms) if config.agc_enabled else None
+        self.mixer = ComplexMixer(
+            PhaseAccumulatorNco(rf.sampling_frequency_hz, rf.intermediate_frequency_hz, config.nco_phase_width, config.nco_lut_bits)
+        )
+        self.decimator = FirDecimator(config.fir_taps, config.decimation)
+
+    @property
+    def output_sampling_frequency_hz(self) -> float:
+        return self.rf.sampling_frequency_hz / self.config.decimation
+
+    def process(self, samples: npt.NDArray[np.generic]) -> npt.NDArray[np.complex128]:
+        array = np.asarray(samples)
+        if np.issubdtype(array.dtype, np.integer):
+            array = array.astype(np.float64) / float(1 << (self.rf.sample_bit_width - 1))
+        array = array.astype(np.complex128)
+        if self.dc is not None:
+            array = self.dc.process(array)
+        if self.agc is not None:
+            array = self.agc.process(array)
+        if self.rf.input_is_real_if or self.rf.intermediate_frequency_hz != 0:
+            array = self.mixer.process(array, downconvert=True)
+        return self.decimator.process(array)
+
diff --git a/src/galileo_rx/frontend/mixer.py b/src/galileo_rx/frontend/mixer.py
new file mode 100644
index 0000000..7cbd37d
--- /dev/null
+++ b/src/galileo_rx/frontend/mixer.py
@@ -0,0 +1,66 @@
+"""Floating and LUT phase-accumulator carrier NCO."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+import numpy as np
+import numpy.typing as npt
+
+
+@dataclass(slots=True)
+class PhaseAccumulatorNco:
+    sampling_frequency_hz: float
+    frequency_hz: float
+    phase_width: int = 32
+    lut_bits: int = 12
+    phase_word: int = 0
+    _lut: npt.NDArray[np.complex128] = field(init=False, repr=False)
+
+    def __post_init__(self) -> None:
+        if self.sampling_frequency_hz <= 0 or not 8 <= self.phase_width <= 64:
+            raise ValueError("invalid NCO sampling frequency or phase width")
+        if not 4 <= self.lut_bits <= min(self.phase_width, 20):
+            raise ValueError("invalid LUT address width")
+        size = 1 << self.lut_bits
+        self._lut = np.exp(2j * np.pi * np.arange(size) / size)
+
+    @property
+    def modulus(self) -> int:
+        return 1 << self.phase_width
+
+    @property
+    def frequency_control_word(self) -> int:
+        return int(round(self.frequency_hz / self.sampling_frequency_hz * self.modulus))
+
+    @property
+    def actual_frequency_hz(self) -> float:
+        return self.frequency_control_word * self.sampling_frequency_hz / self.modulus
+
+    def set_frequency(self, frequency_hz: float) -> None:
+        self.frequency_hz = frequency_hz
+
+    def generate(self, sample_count: int, conjugate: bool = False, use_lut: bool = False) -> npt.NDArray[np.complex128]:
+        if sample_count < 0:
+            raise ValueError("sample_count must be nonnegative")
+        fcw = self.frequency_control_word
+        words = (self.phase_word + np.arange(sample_count, dtype=object) * fcw)
+        if use_lut:
+            shift = self.phase_width - self.lut_bits
+            addresses = np.asarray([(int(word) % self.modulus) >> shift for word in words], dtype=np.int64)
+            values = self._lut[addresses]
+        else:
+            phases = np.asarray([int(word) % self.modulus for word in words], dtype=np.float64) / self.modulus
+            values = np.exp(2j * np.pi * phases)
+        self.phase_word = int((self.phase_word + sample_count * fcw) % self.modulus)
+        return np.conjugate(values) if conjugate else values
+
+
+class ComplexMixer:
+    def __init__(self, nco: PhaseAccumulatorNco, use_lut: bool = False) -> None:
+        self.nco = nco
+        self.use_lut = use_lut
+
+    def process(self, samples: npt.NDArray[np.generic], downconvert: bool = True) -> npt.NDArray[np.complex128]:
+        array = np.asarray(samples, dtype=np.complex128)
+        return array * self.nco.generate(array.size, conjugate=downconvert, use_lut=self.use_lut)
diff --git a/src/galileo_rx/io/__init__.py b/src/galileo_rx/io/__init__.py
new file mode 100644
index 0000000..5244b0c
--- /dev/null
+++ b/src/galileo_rx/io/__init__.py
@@ -0,0 +1,14 @@
+"""Sample file I/O."""
+
+from .sample_reader import SampleReader, read_samples
+from .sample_writer import write_samples
+from .signalsim_reader import SignalSimReader, SignalSimSampleFormat, SignalSimSampleSpec
+
+__all__ = [
+    "SampleReader",
+    "SignalSimReader",
+    "SignalSimSampleFormat",
+    "SignalSimSampleSpec",
+    "read_samples",
+    "write_samples",
+]
diff --git a/src/galileo_rx/io/sample_reader.py b/src/galileo_rx/io/sample_reader.py
new file mode 100644
index 0000000..f1a32ee
--- /dev/null
+++ b/src/galileo_rx/io/sample_reader.py
@@ -0,0 +1,35 @@
+"""Block-streaming raw sample input."""
+
+from __future__ import annotations
+
+from pathlib import Path
+from typing import Iterator
+
+import numpy as np
+import numpy.typing as npt
+
+
+def _dtype(sample_format: str, endianness: str) -> np.dtype:
+    mapping = {"complex128": "c16", "float64": "f8", "complex64": "c8", "float32": "f4", "int8": "i1", "int16": "i2"}
+    if sample_format not in mapping:
+        raise ValueError(f"unsupported sample format {sample_format!r}")
+    prefix = "<" if endianness == "little" else ">"
+    return np.dtype(prefix + mapping[sample_format])
+
+
+def read_samples(path: str | Path, sample_format: str = "complex128", endianness: str = "little", count: int = -1, offset_samples: int = 0) -> npt.NDArray[np.generic]:
+    dtype = _dtype(sample_format, endianness)
+    return np.fromfile(Path(path), dtype=dtype, count=count, offset=offset_samples * dtype.itemsize)
+
+
+class SampleReader:
+    def __init__(self, path: str | Path, sample_format: str = "complex128", endianness: str = "little") -> None:
+        self.path = Path(path)
+        self.dtype = _dtype(sample_format, endianness)
+
+    def blocks(self, block_samples: int) -> Iterator[npt.NDArray[np.generic]]:
+        if block_samples <= 0:
+            raise ValueError("block_samples must be positive")
+        with self.path.open("rb") as stream:
+            while block := np.fromfile(stream, dtype=self.dtype, count=block_samples):
+                yield block
diff --git a/src/galileo_rx/io/sample_writer.py b/src/galileo_rx/io/sample_writer.py
new file mode 100644
index 0000000..3c349c8
--- /dev/null
+++ b/src/galileo_rx/io/sample_writer.py
@@ -0,0 +1,13 @@
+"""Raw sample output."""
+
+from pathlib import Path
+
+import numpy as np
+import numpy.typing as npt
+
+
+def write_samples(path: str | Path, samples: npt.NDArray[np.generic], endianness: str = "little") -> None:
+    array = np.asarray(samples)
+    byte_order = "<" if endianness == "little" else ">"
+    array.astype(array.dtype.newbyteorder(byte_order), copy=False).tofile(Path(path))
+
diff --git a/src/galileo_rx/io/signalsim_reader.py b/src/galileo_rx/io/signalsim_reader.py
new file mode 100644
index 0000000..6434b55
--- /dev/null
+++ b/src/galileo_rx/io/signalsim_reader.py
@@ -0,0 +1,154 @@
+"""Strict adapters for globsky/SignalSim complex-IQ files.
+
+All decoded samples are promoted to ``complex128``.  ``scale_counts_per_unit``
+is explicit: use 1.0 for raw ADC counts, 25.0 for IQ8 physical amplitude at
+AGC gain 1, 3277.0 for IQ16, or the actual final AGC-adjusted scale.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from enum import Enum
+from pathlib import Path
+from typing import Iterator, Literal
+
+import numpy as np
+import numpy.typing as npt
+
+
+class SignalSimSampleFormat(str, Enum):
+    IQ8 = "IQ8"
+    IQ16 = "IQ16"
+    IQ4 = "IQ4"
+    IQ2 = "IQ2"
+    FLOAT32_IQ = "FLOAT32_IQ"
+    FLOAT64_IQ = "FLOAT64_IQ"
+
+
+@dataclass(frozen=True, slots=True)
+class SignalSimSampleSpec:
+    sample_format: SignalSimSampleFormat | str = SignalSimSampleFormat.IQ8
+    byte_order: Literal["little", "big"] = "little"
+    iq_order: Literal["IQ", "QI"] = "IQ"
+    scale_counts_per_unit: float = 1.0
+
+    def __post_init__(self) -> None:
+        object.__setattr__(self, "sample_format", SignalSimSampleFormat(self.sample_format))
+        if self.scale_counts_per_unit <= 0.0 or not np.isfinite(self.scale_counts_per_unit):
+            raise ValueError("scale_counts_per_unit must be finite and positive")
+        if self.sample_format == SignalSimSampleFormat.IQ16 and self.byte_order != "little":
+            # This is allowed for hand-crafted/converted data, but is not native SignalSim.
+            pass
+
+
+def _decode_sign_magnitude(values: np.ndarray, sign_mask: int, magnitude_mask: int) -> np.ndarray:
+    magnitude = (values & magnitude_mask).astype(np.float64)
+    return np.where((values & sign_mask) != 0, -magnitude, magnitude)
+
+
+class SignalSimReader:
+    """Random-access and block-streaming SignalSim sample reader."""
+
+    def __init__(self, path: str | Path, spec: SignalSimSampleSpec | None = None, *, memory_map: bool = False) -> None:
+        self.path = Path(path)
+        self.spec = spec or SignalSimSampleSpec()
+        self.memory_map = memory_map
+        if not self.path.is_file():
+            raise FileNotFoundError(self.path)
+
+    @property
+    def sample_count(self) -> int:
+        byte_count = self.path.stat().st_size
+        fmt = self.spec.sample_format
+        divisor = {
+            SignalSimSampleFormat.IQ8: 2,
+            SignalSimSampleFormat.IQ16: 4,
+            SignalSimSampleFormat.IQ4: 1,
+            SignalSimSampleFormat.FLOAT32_IQ: 8,
+            SignalSimSampleFormat.FLOAT64_IQ: 16,
+        }.get(fmt)
+        if fmt == SignalSimSampleFormat.IQ2:
+            return byte_count * 2
+        assert divisor is not None
+        if byte_count % divisor:
+            raise ValueError(f"truncated {fmt.value} file: {byte_count} bytes is not a whole complex sample")
+        return byte_count // divisor
+
+    def _raw_bytes(self) -> npt.NDArray[np.uint8]:
+        if self.memory_map:
+            return np.memmap(self.path, dtype=np.uint8, mode="r")
+        return np.fromfile(self.path, dtype=np.uint8)
+
+    def read(self, count: int = -1, offset_samples: int = 0, *, allow_truncated: bool = False) -> npt.NDArray[np.complex128]:
+        available = self.sample_count
+        if offset_samples < 0 or offset_samples > available:
+            raise ValueError(f"offset_samples must be within 0..{available}")
+        requested = available - offset_samples if count < 0 else count
+        if requested < 0:
+            raise ValueError("count must be -1 or nonnegative")
+        remaining = available - offset_samples
+        if requested > remaining:
+            if not allow_truncated:
+                raise EOFError(f"requested {requested} samples at offset {offset_samples}, only {remaining} remain")
+            requested = remaining
+        if requested == 0:
+            return np.empty(0, dtype=np.complex128)
+
+        fmt = self.spec.sample_format
+        if fmt == SignalSimSampleFormat.IQ2:
+            decoded = self._decode_iq2(offset_samples, requested)
+        elif fmt == SignalSimSampleFormat.IQ4:
+            raw = self._raw_bytes()[offset_samples : offset_samples + requested]
+            i_values = _decode_sign_magnitude(raw >> 4, 0x8, 0x7)
+            q_values = _decode_sign_magnitude(raw & 0xF, 0x8, 0x7)
+            decoded = i_values + 1j * q_values
+        else:
+            scalar_dtype = {
+                SignalSimSampleFormat.IQ8: np.dtype("i1"),
+                SignalSimSampleFormat.IQ16: np.dtype(("<" if self.spec.byte_order == "little" else ">") + "i2"),
+                SignalSimSampleFormat.FLOAT32_IQ: np.dtype(("<" if self.spec.byte_order == "little" else ">") + "f4"),
+                SignalSimSampleFormat.FLOAT64_IQ: np.dtype(("<" if self.spec.byte_order == "little" else ">") + "f8"),
+            }[fmt]
+            scalar_offset = offset_samples * 2
+            if self.memory_map:
+                scalars = np.memmap(self.path, dtype=scalar_dtype, mode="r", offset=scalar_offset * scalar_dtype.itemsize, shape=(requested * 2,))
+            else:
+                scalars = np.fromfile(self.path, dtype=scalar_dtype, count=requested * 2, offset=scalar_offset * scalar_dtype.itemsize)
+            first = scalars[0::2].astype(np.float64)
+            second = scalars[1::2].astype(np.float64)
+            decoded = first + 1j * second
+        if self.spec.iq_order == "QI":
+            decoded = decoded.imag + 1j * decoded.real
+        return np.asarray(decoded / np.float64(self.spec.scale_counts_per_unit), dtype=np.complex128)
+
+    def _decode_iq2(self, offset_samples: int, count: int) -> npt.NDArray[np.complex128]:
+        first_byte = offset_samples // 2
+        last_sample = offset_samples + count
+        last_byte = (last_sample + 1) // 2
+        raw = self._raw_bytes()[first_byte:last_byte]
+        output = np.empty(raw.size * 2, dtype=np.complex128)
+        # Each 2-bit sign/magnitude value has levels 0 and +/-1.  Samples 0/1
+        # occupy the low/high nibbles respectively (I then Q within a nibble).
+        for lane, shift in enumerate((0, 4)):
+            nibble = raw >> shift
+            i_values = _decode_sign_magnitude(nibble, 0x2, 0x1)
+            q_values = _decode_sign_magnitude(nibble, 0x8, 0x4) / 4.0
+            output[lane::2] = i_values + 1j * q_values
+        begin = offset_samples & 1
+        return output[begin : begin + count]
+
+    def blocks(self, block_samples: int, *, offset_samples: int = 0, count: int = -1) -> Iterator[npt.NDArray[np.complex128]]:
+        if block_samples <= 0:
+            raise ValueError("block_samples must be positive")
+        remaining = self.sample_count - offset_samples if count < 0 else count
+        cursor = offset_samples
+        while remaining > 0:
+            block_count = min(block_samples, remaining)
+            block = self.read(block_count, cursor, allow_truncated=True)
+            if block.size == 0:
+                break
+            yield block
+            cursor += block.size
+            remaining -= block.size
+            if block.size < block_count:
+                break
diff --git a/src/galileo_rx/rtl_model/__init__.py b/src/galileo_rx/rtl_model/__init__.py
new file mode 100644
index 0000000..56e9ef3
--- /dev/null
+++ b/src/galileo_rx/rtl_model/__init__.py
@@ -0,0 +1,6 @@
+"""Cycle-oriented interfaces and hardware scheduling estimates."""
+
+from .cycle_model import AcquisitionArchitectureEstimate, TrackingScheduler
+
+__all__ = ["AcquisitionArchitectureEstimate", "TrackingScheduler"]
+
diff --git a/src/galileo_rx/rtl_model/architecture.md b/src/galileo_rx/rtl_model/architecture.md
new file mode 100644
index 0000000..625f398
--- /dev/null
+++ b/src/galileo_rx/rtl_model/architecture.md
@@ -0,0 +1,71 @@
+# Receiver RTL module contract
+
+Widths below are proposed starting points and must be confirmed by the sweep.
+Every stream transfers only on `valid && ready`; `last` marks an integration or
+FFT frame. Configuration registers are stable during a frame. Arithmetic data
+saturates and raises a sticky overflow flag unless natural NCO wrap is stated.
+
+| Module | Input → output | Width / binary point | Latency & throughput | State / memory | Reset and verification |
+|---|---|---|---|---|---|
+| `sample_input` | ADC/file words → signed I/Q stream | 8–16 integer or Q1.(W-1) | 1, one sample/clock | optional CDC FIFO | clear valid/FIFO; replay exported vectors |
+| `dc_blocker` | I/Q → high-pass I/Q | 18/Q15 internal | 2–4, one/clock | previous x/y per component | zero state; impulse/DC tests |
+| `agc_or_scaler` | I/Q, gain → scaled I/Q | gain 18/Q16, out 18/Q15 | 2, one/clock | gain/RMS window | unity gain; float/fixed block comparison |
+| `ddc_nco` | signed FCW, phase load → cos/sin | phase 32 unsigned, LUT 16/Q15 | 1–3, one/clock | phase accumulator, LUT BRAM | programmed phase; FCW/continuity tests |
+| `complex_mixer` | sample, cos/sin → baseband | 8×16, out 18/Q15 | 3–5, one/clock | pipeline only | clear valid; tone/sign test |
+| `fir_decimator` | baseband → filtered/decimated | coeff 18/Q17, accum 36+ | tap dependent | delay line/coeff ROM/phase | clear delay/phase; SciPy impulse comparison |
+| `sample_buffer` | stream → framed random read | 18-bit I + 18-bit Q | one write/clock, read architecture dependent | `M*N_s` complex words, ping-pong | pointers zero; boundary/wrap tests |
+| `code_rom` | PRN/component/chip addr → +/-1 | 1 sign bit | 1 | validated code ROM only | no invented defaults; checksum against provider |
+| `code_nco` | FCW/phase → chip address/fraction | 48, 32 fractional | 1, one/sample | phase and epoch counter | phase load; noninteger-rate test |
+| `boc_subcarrier_nco` | code fraction → sign | phase fraction MSB | combinational/1 | none or phase state | defined sine-phase polarity test |
+| `fft_controller` | frame/config → FFT commands | address `ceil(log2 N)` | control dependent | frame/bin/PRN counters | idle reset; transaction assertions |
+| `streaming_fft` | complex frame → spectrum | 18/Q15 in, 20/Q15 stage, configurable shifts | IP-specific `C_FFT`, initiation one/clock | twiddle ROM, delay/transpose RAM | frame reset only; impulse/tone/random bit vectors |
+| `complex_multiplier` | spectra → product | 20/Q15 × 16/Q15, 36/Q30 full | 3–6, one/clock | pipeline | clear valid; exhaustive small-width test |
+| `code_fft_memory` | PRN/address → conjugated FFT | 20/Q15 complex | 1–2 | `P*N*40` bits or banked subset | contents retained; CRC and software comparison |
+| `correlation_ifft` | product frame → correlation | 20/Q15 → 28/Q15 | IP-specific | FFT RAM/twiddles | scaling-vector test |
+| `magnitude_squared` | complex → unsigned power | 28/Q15 → 56/Q30, then configured 48/Q16 | 4, one/clock | pipeline | saturation sticky; corner tests |
+| `noncoherent_accumulator` | power/address → sum | unsigned 56/Q20 | read-modify-write 2–3 | `D*N_s` words per active PRN/lane | clear at search; coherent/noncoherent vectors |
+| `peak_search` | power stream → top/second/noise | 56-bit power, wide mean accumulator | one scan, one/clock | top values, guard FIFO/circular rescan | clear per map; wraparound guard tests |
+| `acquisition_controller` | command → result stream | register/control | search latency | PRN/bin/epoch/hypothesis FSM | idle/abort; end-to-end generated vectors |
+| `tracking_correlator_bank` | wiped sample, five signs → products | 18/Q15 sample, sign code | 2–5, channel/sample throughput parameter | pipeline | valid reset; vector/cycle correlator equality |
+| `accumulate_and_dump` | tap products → five sums | 40/Q15 complex | one/sample, dump at epoch | ten accumulators/channel | zero on dump/reset; exact integer sums |
+| `tracking_discriminators` | tap sums → PLL/FLL/DLL | input 40/Q15, output 24/Q18 | LUT/CORDIC dependent | previous prompt per channel | zero history; signs/units/corner quadrants |
+| `loop_filter` | errors/config → corrections | 32/Q20 state, 24/Q18 coeff | 3–10 per update | integrators/channel | zero or software load; coefficient/step vectors |
+| `carrier_nco` | correction/FCW → carrier | phase 32 unsigned | one/sample | phase/FCW/channel | natural wrap; continuity and pull-in |
+| `tracking_channel_scheduler` | sample + state RAM → lane jobs | IDs/addresses | must meet scheduling inequality | active bitmap, round-robin pointer | idle; assertions for deadline/no collision |
+| `channel_state_ram` | scheduler read/write | implementation record ~512 bits/channel | dual-port 1–2 | all NCO/loop/lock/secondary state | configurable preserve/clear; context-switch test |
+| `measurement_output` | epoch state → host stream | packed 32-bit words | burst per epoch | small FIFO | clear FIFO; schema/golden CSV comparison |
+
+`fir_decimator` is bypassable. `ddc_nco` can expose `(x,y,z,valid,ready)` instead
+of LUT output for a later CORDIC without changing mixer control. FFT RAM banking,
+scaling schedule, and vendor IP latency are deliberately parameters, not hidden
+assumptions.
+
+For side-peak/unambiguous extensions, the acquisition controller accepts a
+replica-strategy identifier and the tracking bank already supplies VEVL. CBOC
+adds a modulation generator/combiner behind the same sign-replica interface.
+
+## External-vector handoff contract
+
+The SignalSim quick vector is the first external RTL oracle. The generated
+manifest contains raw IQ8 hex, sample timestamps, search limits, coherent and
+noncoherent counts, FFT length, carrier/code FCWs, acquired code phase and
+Doppler, E1B/E1C dump lengths, and E1C secondary phase. Symbolic keys become
+APB fields once the register address map is frozen.
+
+The software handoff must program two independent quantities:
+
+```text
+carrier_nco_frequency = configured_IF_center + acquired_Doppler
+code_aiding_Doppler   = carrier_nco_frequency - configured_IF_center
+```
+
+Using the full carrier NCO frequency for code aiding was observed to drive the
+code NCO about 1330 Hz fast at 2.046 MHz IF and lose lock after one epoch. RTL
+and firmware assertions should check that the aiding value lies within the
+configured Doppler search range, not the sampled IF range.
+
+The E1B channel uses 16,368-sample (2 ms) pull-in dumps at 8.184 MHz so its
+BPSK-squared FLL has ±125 Hz unambiguous range. Two dumps are paired for a raw
+4 ms symbol. E1C uses 32,736-sample dumps plus a 25-state secondary counter.
+These measured modes must be representable by `MAX_INTEGRATION_SAMPLES`, the
+channel state RAM record, the scheduler, and measurement output.
diff --git a/src/galileo_rx/rtl_model/cycle_model.py b/src/galileo_rx/rtl_model/cycle_model.py
new file mode 100644
index 0000000..d5640b5
--- /dev/null
+++ b/src/galileo_rx/rtl_model/cycle_model.py
@@ -0,0 +1,74 @@
+"""Architecture sizing formulas and lossless scheduling checks."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from math import ceil, log2
+
+
+@dataclass(frozen=True, slots=True)
+class AcquisitionArchitectureEstimate:
+    sampling_frequency_hz: float
+    coherent_integration_s: float
+    noncoherent_accumulations: int
+    number_of_prns: int
+    number_of_doppler_bins: int
+    fft_length: int
+    clock_frequency_hz: float
+    num_doppler_lanes: int = 1
+    fft_cycles_per_transform: int | None = None
+
+    @property
+    def samples_per_coherent_interval(self) -> int:
+        return int(round(self.sampling_frequency_hz * self.coherent_integration_s))
+
+    @property
+    def fft_operations_per_prn(self) -> int:
+        # One local-code FFT may be precomputed; every bin/accumulation needs a
+        # sample FFT and correlation IFFT.
+        return 2 * self.number_of_doppler_bins * self.noncoherent_accumulations
+
+    @property
+    def sample_buffer_complex_words(self) -> int:
+        return self.samples_per_coherent_interval * self.noncoherent_accumulations
+
+    @property
+    def code_fft_complex_words(self) -> int:
+        return self.number_of_prns * self.fft_length
+
+    @property
+    def complex_pointwise_multiplications(self) -> int:
+        return self.number_of_prns * self.number_of_doppler_bins * self.noncoherent_accumulations * self.fft_length
+
+    @property
+    def acquisition_time_s(self) -> float:
+        fft_cycles = self.fft_cycles_per_transform or (self.fft_length + int(log2(self.fft_length)) + 16)
+        bin_groups = ceil(self.number_of_doppler_bins / self.num_doppler_lanes)
+        cycles = self.number_of_prns * bin_groups * self.noncoherent_accumulations * (2 * fft_cycles + self.fft_length)
+        return cycles / self.clock_frequency_hz
+
+
+@dataclass(frozen=True, slots=True)
+class TrackingScheduler:
+    sampling_frequency_hz: float
+    clock_frequency_hz: float
+    num_tracking_channels: int
+    num_correlator_lanes: int
+    cycles_per_channel_sample: int
+
+    @property
+    def available_cycles_per_input_sample(self) -> float:
+        return self.clock_frequency_hz / self.sampling_frequency_hz
+
+    @property
+    def required_cycles_per_input_sample(self) -> int:
+        return ceil(self.num_tracking_channels / self.num_correlator_lanes) * self.cycles_per_channel_sample
+
+    @property
+    def schedulable_without_loss(self) -> bool:
+        return self.required_cycles_per_input_sample <= self.available_cycles_per_input_sample
+
+    @property
+    def utilization(self) -> float:
+        return self.required_cycles_per_input_sample / self.available_cycles_per_input_sample
+
diff --git a/src/galileo_rx/rtl_model/interfaces.py b/src/galileo_rx/rtl_model/interfaces.py
new file mode 100644
index 0000000..0693647
--- /dev/null
+++ b/src/galileo_rx/rtl_model/interfaces.py
@@ -0,0 +1,34 @@
+"""Vendor-neutral valid/ready transaction types."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+
+@dataclass(slots=True)
+class StreamTransaction:
+    data: int | complex
+    valid: bool = True
+    ready: bool = True
+    first: bool = False
+    last: bool = False
+    channel_id: int = 0
+    user: int = 0
+
+    @property
+    def transferred(self) -> bool:
+        return self.valid and self.ready
+
+
+@dataclass(slots=True)
+class CorrelatorTransaction:
+    sample_i: int
+    sample_q: int
+    carrier_cos: int
+    carrier_sin: int
+    code_taps: tuple[int, ...]
+    channel_id: int
+    epoch_last: bool
+    valid: bool = True
+    ready: bool = True
+
diff --git a/src/galileo_rx/rtl_model/vector_export.py b/src/galileo_rx/rtl_model/vector_export.py
new file mode 100644
index 0000000..5f21259
--- /dev/null
+++ b/src/galileo_rx/rtl_model/vector_export.py
@@ -0,0 +1,76 @@
+"""Export integer transactions and manifests for HDL testbenches."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+import csv
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.fixed_point.formats import FixedFormat
+from galileo_rx.fixed_point.quantizer import Quantizer, quantize_complex
+
+
+def export_complex_hex(
+    directory: str | Path,
+    stem: str,
+    values: npt.ArrayLike,
+    fixed_format: FixedFormat,
+) -> dict[str, object]:
+    """Write two's-complement I/Q hex files plus a machine-readable manifest."""
+    output_directory = Path(directory)
+    output_directory.mkdir(parents=True, exist_ok=True)
+    quantizer = Quantizer(fixed_format)
+    real, imag = quantize_complex(values, quantizer)
+    mask = (1 << fixed_format.total_bits) - 1
+    digits = (fixed_format.total_bits + 3) // 4
+    real_path = output_directory / f"{stem}_i.hex"
+    imag_path = output_directory / f"{stem}_q.hex"
+    real_path.write_text("\n".join(f"{int(item) & mask:0{digits}x}" for item in real) + "\n", encoding="ascii")
+    imag_path.write_text("\n".join(f"{int(item) & mask:0{digits}x}" for item in imag) + "\n", encoding="ascii")
+    manifest = {
+        "stem": stem,
+        "sample_count": int(real.size),
+        "total_bits": fixed_format.total_bits,
+        "fractional_bits": fixed_format.fractional_bits,
+        "signed": fixed_format.signed,
+        "encoding": "two_complement_hex",
+        "i_file": real_path.name,
+        "q_file": imag_path.name,
+        "overflow_count": quantizer.statistics.overflow_count,
+    }
+    (output_directory / f"{stem}.json").write_text(json.dumps(manifest, indent=2), encoding="utf-8")
+    return manifest
+
+
+def export_timed_complex_hex(
+    directory: str | Path,
+    stem: str,
+    values: npt.ArrayLike,
+    fixed_format: FixedFormat,
+    sampling_frequency_hz: float,
+    register_values: dict[str, object],
+) -> dict[str, object]:
+    """Export RTL samples, explicit timestamps, and configuration metadata."""
+    if sampling_frequency_hz <= 0.0:
+        raise ValueError("sampling_frequency_hz must be positive")
+    output_directory = Path(directory)
+    manifest = export_complex_hex(output_directory, stem, values, fixed_format)
+    timestamp_path = output_directory / f"{stem}_timestamps.csv"
+    with timestamp_path.open("w", newline="", encoding="ascii") as stream:
+        writer = csv.writer(stream)
+        writer.writerow(["sample_index", "time_s"])
+        for index in range(int(manifest["sample_count"])):
+            writer.writerow([index, f"{index / sampling_frequency_hz:.17g}"])
+    manifest.update(
+        {
+            "sampling_frequency_hz": sampling_frequency_hz,
+            "sample_period_s": 1.0 / sampling_frequency_hz,
+            "timestamp_file": timestamp_path.name,
+            "register_values": register_values,
+        }
+    )
+    (output_directory / f"{stem}.json").write_text(json.dumps(manifest, indent=2), encoding="utf-8")
+    return manifest
diff --git a/src/galileo_rx/signal_profiles.py b/src/galileo_rx/signal_profiles.py
new file mode 100644
index 0000000..af6b561
--- /dev/null
+++ b/src/galileo_rx/signal_profiles.py
@@ -0,0 +1,58 @@
+"""Signal definitions consumed by generic acquisition and tracking engines."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Literal
+
+
+@dataclass(frozen=True, slots=True)
+class ComponentProfile:
+    name: str
+    channel_type: Literal["data", "pilot"]
+    primary_code_length_chips: int
+    primary_code_period_s: float
+    secondary_code_length: int | None
+    navigation_symbol_period_s: float | None
+
+
+@dataclass(frozen=True, slots=True)
+class SignalProfile:
+    name: str
+    carrier_frequency_hz: float
+    code_rate_hz: float
+    modulation: str
+    boc_subcarrier_rate_hz: float
+    components: dict[str, ComponentProfile]
+
+    def component(self, name: str) -> ComponentProfile:
+        try:
+            return self.components[name]
+        except KeyError as exc:
+            raise ValueError(f"component {name!r} is not supported by profile {self.name}") from exc
+
+
+def galileo_e1_profile() -> SignalProfile:
+    """Galileo E1 parameters; code chips themselves come from a code provider."""
+    return SignalProfile(
+        name="GALILEO_E1",
+        carrier_frequency_hz=1_575_420_000.0,
+        code_rate_hz=1_023_000.0,
+        modulation="BOC(1,1)",
+        boc_subcarrier_rate_hz=1_023_000.0,
+        components={
+            "E1B": ComponentProfile("E1B", "data", 4092, 0.004, None, 0.004),
+            "E1C": ComponentProfile("E1C", "pilot", 4092, 0.004, 25, None),
+        },
+    )
+
+
+PROFILES = {"GALILEO_E1": galileo_e1_profile}
+
+
+def get_signal_profile(name: str) -> SignalProfile:
+    try:
+        return PROFILES[name]()
+    except KeyError as exc:
+        raise ValueError(f"unknown signal profile {name!r}; available: {sorted(PROFILES)}") from exc
+
diff --git a/src/galileo_rx/signals/__init__.py b/src/galileo_rx/signals/__init__.py
new file mode 100644
index 0000000..375b634
--- /dev/null
+++ b/src/galileo_rx/signals/__init__.py
@@ -0,0 +1,7 @@
+"""Signal code, modulation, and generation."""
+
+from .code_provider import CodeProvider, FileCodeProvider, SyntheticCodeProvider
+from .signal_generator import SatelliteSignalConfig, SyntheticSignalGenerator
+
+__all__ = ["CodeProvider", "FileCodeProvider", "SyntheticCodeProvider", "SatelliteSignalConfig", "SyntheticSignalGenerator"]
+
diff --git a/src/galileo_rx/signals/boc.py b/src/galileo_rx/signals/boc.py
new file mode 100644
index 0000000..49f40c7
--- /dev/null
+++ b/src/galileo_rx/signals/boc.py
@@ -0,0 +1,38 @@
+"""BOC modulation helpers with sample-continuous phase."""
+
+from __future__ import annotations
+
+import numpy as np
+import numpy.typing as npt
+
+
+def boc_subcarrier(
+    sample_count: int,
+    sampling_frequency_hz: float,
+    subcarrier_frequency_hz: float,
+    initial_phase_cycles: float = 0.0,
+) -> tuple[npt.NDArray[np.float64], float]:
+    """Generate sine-phased square-wave BOC subcarrier and ending phase in cycles."""
+    if sample_count < 0 or sampling_frequency_hz <= 0 or subcarrier_frequency_hz <= 0:
+        raise ValueError("invalid BOC generator parameters")
+    phase = initial_phase_cycles + np.arange(sample_count, dtype=np.float64) * subcarrier_frequency_hz / sampling_frequency_hz
+    wave = np.where(np.mod(phase, 1.0) < 0.5, 1.0, -1.0)
+    ending_phase = float((initial_phase_cycles + sample_count * subcarrier_frequency_hz / sampling_frequency_hz) % 1.0)
+    return wave, ending_phase
+
+
+def sample_primary_code(
+    code: npt.NDArray[np.int8],
+    sample_count: int,
+    sampling_frequency_hz: float,
+    code_rate_hz: float,
+    initial_code_phase_chips: float = 0.0,
+) -> tuple[npt.NDArray[np.float64], float]:
+    """Nearest-chip code sampling supporting noninteger samples per chip."""
+    if code.ndim != 1 or code.size == 0 or sampling_frequency_hz <= 0 or code_rate_hz <= 0:
+        raise ValueError("invalid code sampling parameters")
+    phases = initial_code_phase_chips + np.arange(sample_count, dtype=np.float64) * code_rate_hz / sampling_frequency_hz
+    values = code[np.floor(phases).astype(np.int64) % code.size].astype(np.float64)
+    ending_phase = float((initial_code_phase_chips + sample_count * code_rate_hz / sampling_frequency_hz) % code.size)
+    return values, ending_phase
+
diff --git a/src/galileo_rx/signals/code_provider.py b/src/galileo_rx/signals/code_provider.py
new file mode 100644
index 0000000..75a8de1
--- /dev/null
+++ b/src/galileo_rx/signals/code_provider.py
@@ -0,0 +1,82 @@
+"""Official-table integration point and deterministic synthetic test codes."""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from pathlib import Path
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.signal_profiles import SignalProfile
+
+ChipArray = npt.NDArray[np.int8]
+
+
+class CodeProvider(ABC):
+    @abstractmethod
+    def primary_code(self, profile: SignalProfile, component: str, prn: int) -> ChipArray:
+        """Return chips as +/-1 int8 values."""
+
+    @abstractmethod
+    def secondary_code(self, profile: SignalProfile, component: str, prn: int) -> ChipArray | None:
+        """Return one secondary-code period as +/-1, or None."""
+
+
+class SyntheticCodeProvider(CodeProvider):
+    """Deterministic random codes exclusively for simulation and verification.
+
+    These sequences are not Galileo ICD codes and cannot acquire live signals.
+    """
+
+    @staticmethod
+    def _chips(length: int, profile: str, component: str, prn: int, kind: str) -> ChipArray:
+        seed = sum((index + 1) * ord(char) for index, char in enumerate(f"{profile}:{component}:{prn}:{kind}"))
+        rng = np.random.default_rng(seed & 0xFFFFFFFF)
+        return np.where(rng.integers(0, 2, length, dtype=np.int8) == 0, -1, 1).astype(np.int8)
+
+    def primary_code(self, profile: SignalProfile, component: str, prn: int) -> ChipArray:
+        spec = profile.component(component)
+        return self._chips(spec.primary_code_length_chips, profile.name, component, prn, "primary")
+
+    def secondary_code(self, profile: SignalProfile, component: str, prn: int) -> ChipArray | None:
+        length = profile.component(component).secondary_code_length
+        return None if length is None else self._chips(length, profile.name, component, prn, "secondary")
+
+
+class FileCodeProvider(CodeProvider):
+    """Load version-controlled code tables without embedding guessed sequences.
+
+    Files are ``<profile>_<component>_PRN<nnn>.txt`` and contain exactly one
+    whitespace-separated row of either 0/1 or -1/+1 chips.
+    """
+
+    def __init__(self, primary_directory: str | Path, secondary_directory: str | Path) -> None:
+        self.primary_directory = Path(primary_directory)
+        self.secondary_directory = Path(secondary_directory)
+
+    @staticmethod
+    def _load(path: Path, expected_length: int) -> ChipArray:
+        if not path.exists():
+            raise FileNotFoundError(f"official code table is not installed: {path}")
+        raw = np.loadtxt(path, dtype=np.int8).reshape(-1)
+        if raw.size != expected_length:
+            raise ValueError(f"{path} has {raw.size} chips; expected {expected_length}")
+        unique = set(raw.tolist())
+        if unique <= {0, 1}:
+            raw = 2 * raw - 1
+        elif not unique <= {-1, 1}:
+            raise ValueError(f"{path} must contain only 0/1 or -1/+1")
+        return raw.astype(np.int8)
+
+    @staticmethod
+    def _name(profile: SignalProfile, component: str, prn: int) -> str:
+        return f"{profile.name.lower()}_{component.lower()}_PRN{prn:03d}.txt"
+
+    def primary_code(self, profile: SignalProfile, component: str, prn: int) -> ChipArray:
+        return self._load(self.primary_directory / self._name(profile, component, prn), profile.component(component).primary_code_length_chips)
+
+    def secondary_code(self, profile: SignalProfile, component: str, prn: int) -> ChipArray | None:
+        length = profile.component(component).secondary_code_length
+        return None if length is None else self._load(self.secondary_directory / self._name(profile, component, prn), length)
+
diff --git a/src/galileo_rx/signals/galileo_e1.py b/src/galileo_rx/signals/galileo_e1.py
new file mode 100644
index 0000000..9f829fb
--- /dev/null
+++ b/src/galileo_rx/signals/galileo_e1.py
@@ -0,0 +1,31 @@
+"""Profile-driven Galileo E1 local replica generation."""
+
+from __future__ import annotations
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.signal_profiles import SignalProfile
+from .boc import boc_subcarrier, sample_primary_code
+from .code_provider import CodeProvider
+
+
+def e1_local_replica(
+    profile: SignalProfile,
+    provider: CodeProvider,
+    component: str,
+    prn: int,
+    sample_count: int,
+    sampling_frequency_hz: float,
+    initial_code_phase_chips: float = 0.0,
+    boc_enabled: bool = True,
+    code_rate_hz: float | None = None,
+) -> npt.NDArray[np.float64]:
+    primary = provider.primary_code(profile, component, prn)
+    effective_code_rate_hz = profile.code_rate_hz if code_rate_hz is None else code_rate_hz
+    code, _ = sample_primary_code(primary, sample_count, sampling_frequency_hz, effective_code_rate_hz, initial_code_phase_chips)
+    if not boc_enabled:
+        return code
+    rate_scale = effective_code_rate_hz / profile.code_rate_hz
+    subcarrier, _ = boc_subcarrier(sample_count, sampling_frequency_hz, profile.boc_subcarrier_rate_hz * rate_scale, initial_code_phase_chips % 1.0)
+    return code * subcarrier
diff --git a/src/galileo_rx/signals/signal_generator.py b/src/galileo_rx/signals/signal_generator.py
new file mode 100644
index 0000000..35180da
--- /dev/null
+++ b/src/galileo_rx/signals/signal_generator.py
@@ -0,0 +1,182 @@
+"""Streaming synthetic signal generator with exact state metadata."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Literal
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.signal_profiles import SignalProfile
+from galileo_rx.types import GenerationTruth, SatelliteTruth
+from .code_provider import CodeProvider
+
+
+@dataclass(slots=True)
+class SatelliteSignalConfig:
+    prn: int
+    component: Literal["E1B", "E1C"] = "E1C"
+    code_delay_chips: float = 0.0
+    doppler_hz: float = 0.0
+    doppler_rate_hz_s: float = 0.0
+    carrier_phase_rad: float = 0.0
+    amplitude: float = 1.0
+    cn0_db_hz: float | None = None
+    navigation_bits: list[int] = field(default_factory=lambda: [1])
+    navigation_bit_period_s: float = 0.004
+    secondary_code_phase: int = 0
+
+    def validate(self, profile: SignalProfile) -> None:
+        profile.component(self.component)
+        if self.prn <= 0 or self.amplitude < 0:
+            raise ValueError("PRN must be positive and amplitude nonnegative")
+        if not self.navigation_bits or not set(self.navigation_bits) <= {-1, 1}:
+            raise ValueError("navigation_bits must be a nonempty +/-1 list")
+
+
+@dataclass(slots=True)
+class ChannelModelConfig:
+    sampling_clock_offset_ppm: float = 0.0
+    carrier_frequency_offset_hz: float = 0.0
+    add_awgn: bool = True
+    noise_std: float | None = None
+    clip_amplitude: float | None = None
+    quantization_bits: int | None = None
+    seed: int = 1
+
+
+class SyntheticSignalGenerator:
+    """Generate real IF or analytic IQ while preserving time across blocks."""
+
+    def __init__(
+        self,
+        profile: SignalProfile,
+        code_provider: CodeProvider,
+        sampling_frequency_hz: float,
+        intermediate_frequency_hz: float = 0.0,
+        output_is_real_if: bool = False,
+        satellites: list[SatelliteSignalConfig] | None = None,
+        channel: ChannelModelConfig | None = None,
+    ) -> None:
+        if sampling_frequency_hz <= 0:
+            raise ValueError("sampling_frequency_hz must be positive")
+        if output_is_real_if and not 0 < intermediate_frequency_hz < sampling_frequency_hz / 2:
+            raise ValueError("real IF must lie strictly between DC and Nyquist")
+        self.profile = profile
+        self.code_provider = code_provider
+        self.sampling_frequency_hz = sampling_frequency_hz
+        self.intermediate_frequency_hz = intermediate_frequency_hz
+        self.output_is_real_if = output_is_real_if
+        self.satellites = satellites or []
+        self.channel = channel or ChannelModelConfig()
+        for satellite in self.satellites:
+            satellite.validate(profile)
+        self._sample_index = 0
+        self._rng = np.random.default_rng(self.channel.seed)
+
+    @property
+    def sample_index(self) -> int:
+        return self._sample_index
+
+    def reset(self) -> None:
+        self._sample_index = 0
+        self._rng = np.random.default_rng(self.channel.seed)
+
+    @staticmethod
+    def _sign_sequence(sequence: npt.NDArray[np.int8], indices: npt.NDArray[np.int64]) -> npt.NDArray[np.float64]:
+        return sequence[np.mod(indices, sequence.size)].astype(np.float64)
+
+    def generate(self, sample_count: int) -> tuple[npt.NDArray[np.complex128] | npt.NDArray[np.float64], GenerationTruth]:
+        if sample_count < 0:
+            raise ValueError("sample_count must be nonnegative")
+        start = self._sample_index
+        nominal_t_s = (start + np.arange(sample_count, dtype=np.float64)) / self.sampling_frequency_hz
+        signal_t_s = nominal_t_s * (1.0 + self.channel.sampling_clock_offset_ppm * 1e-6)
+        output = np.zeros(sample_count, dtype=np.complex128)
+        truths: list[SatelliteTruth] = []
+        equivalent_noise_variance = 0.0
+
+        for satellite in self.satellites:
+            primary = self.code_provider.primary_code(self.profile, satellite.component, satellite.prn)
+            # Common line-of-sight dynamics scale carrier and spreading-code
+            # frequencies by the same fractional Doppler. Keeping this coupling
+            # makes carrier-aided code tracking physically self-consistent.
+            code_phase_chips = (
+                signal_t_s * self.profile.code_rate_hz
+                + signal_t_s * satellite.doppler_hz * self.profile.code_rate_hz / self.profile.carrier_frequency_hz
+                + 0.5 * signal_t_s**2 * satellite.doppler_rate_hz_s * self.profile.code_rate_hz / self.profile.carrier_frequency_hz
+                - satellite.code_delay_chips
+            )
+            chip_indices = np.floor(code_phase_chips).astype(np.int64)
+            spreading = self._sign_sequence(primary, chip_indices)
+            subcarrier_phase = code_phase_chips
+            subcarrier = np.where(np.mod(subcarrier_phase, 1.0) < 0.5, 1.0, -1.0)
+
+            component_spec = self.profile.component(satellite.component)
+            if component_spec.channel_type == "data":
+                bit_indices = np.floor(signal_t_s / satellite.navigation_bit_period_s).astype(np.int64)
+                spreading *= self._sign_sequence(np.asarray(satellite.navigation_bits, dtype=np.int8), bit_indices)
+            else:
+                secondary = self.code_provider.secondary_code(self.profile, satellite.component, satellite.prn)
+                if secondary is not None:
+                    epoch_indices = np.floor(signal_t_s / component_spec.primary_code_period_s).astype(np.int64)
+                    spreading *= self._sign_sequence(secondary, epoch_indices + satellite.secondary_code_phase)
+
+            phase_rad = (
+                satellite.carrier_phase_rad
+                + 2.0 * np.pi * (self.intermediate_frequency_hz + satellite.doppler_hz + self.channel.carrier_frequency_offset_hz) * nominal_t_s
+                + np.pi * satellite.doppler_rate_hz_s * nominal_t_s**2
+            )
+            output += satellite.amplitude * spreading * subcarrier * np.exp(1j * phase_rad)
+            if satellite.cn0_db_hz is not None:
+                equivalent_noise_variance += satellite.amplitude**2 * self.sampling_frequency_hz / (10.0 ** (satellite.cn0_db_hz / 10.0))
+            truths.append(
+                SatelliteTruth(
+                    prn=satellite.prn,
+                    component=satellite.component,
+                    initial_code_delay_chips=satellite.code_delay_chips,
+                    initial_code_delay_samples=satellite.code_delay_chips * self.sampling_frequency_hz / self.profile.code_rate_hz,
+                    initial_doppler_hz=satellite.doppler_hz,
+                    doppler_rate_hz_s=satellite.doppler_rate_hz_s,
+                    initial_carrier_phase_rad=satellite.carrier_phase_rad,
+                    amplitude=satellite.amplitude,
+                    cn0_db_hz=satellite.cn0_db_hz,
+                )
+            )
+
+        if self.channel.add_awgn and sample_count:
+            variance = self.channel.noise_std**2 if self.channel.noise_std is not None else equivalent_noise_variance
+            if variance > 0:
+                output += np.sqrt(variance / 2.0) * (
+                    self._rng.standard_normal(sample_count) + 1j * self._rng.standard_normal(sample_count)
+                )
+        result: npt.NDArray[np.complex128] | npt.NDArray[np.float64]
+        if self.output_is_real_if:
+            result = (np.sqrt(2.0) * output.real).astype(np.float64)
+        else:
+            result = output.astype(np.complex128)
+        if self.channel.clip_amplitude is not None:
+            limit = self.channel.clip_amplitude
+            if np.iscomplexobj(result):
+                result = (np.clip(result.real, -limit, limit) + 1j * np.clip(result.imag, -limit, limit)).astype(np.complex128)
+            else:
+                result = np.clip(result, -limit, limit).astype(np.float64)
+        if self.channel.quantization_bits is not None:
+            result = quantize_normalized(result, self.channel.quantization_bits)
+        self._sample_index += sample_count
+        truth = GenerationTruth(self.sampling_frequency_hz, self.intermediate_frequency_hz, self.output_is_real_if, start, sample_count, truths)
+        return result, truth
+
+
+def quantize_normalized(samples: npt.NDArray[np.generic], bits: int) -> npt.NDArray[np.generic]:
+    """Quantize normalized signed samples to a symmetric fractional grid."""
+    if not 2 <= bits <= 32:
+        raise ValueError("quantization bits must be in [2, 32]")
+    scale = float(1 << (bits - 1))
+    maximum = 1.0 - 1.0 / scale
+    if np.iscomplexobj(samples):
+        real = np.round(np.clip(samples.real, -1.0, maximum) * scale) / scale
+        imag = np.round(np.clip(samples.imag, -1.0, maximum) * scale) / scale
+        return (real + 1j * imag).astype(samples.dtype)
+    return (np.round(np.clip(samples, -1.0, maximum) * scale) / scale).astype(samples.dtype)
diff --git a/src/galileo_rx/signals/signalsim_codes.py b/src/galileo_rx/signals/signalsim_codes.py
new file mode 100644
index 0000000..14c4df0
--- /dev/null
+++ b/src/galileo_rx/signals/signalsim_codes.py
@@ -0,0 +1,121 @@
+"""Code provider backed by an unmodified local SignalSim checkout.
+
+The provider deliberately parses SignalSim's source at run time.  It does not
+copy, guess, or silently replace Galileo code tables.  This also makes the
+checkout commit part of the reproducibility boundary.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from functools import cached_property
+from pathlib import Path
+import re
+
+import numpy as np
+
+from galileo_rx.signal_profiles import SignalProfile
+from .code_provider import ChipArray, CodeProvider
+
+
+@dataclass(frozen=True, slots=True)
+class SignalSimConvention:
+    """Observed conventions for globsky/SignalSim commit 80b2621.
+
+    ``code_sign`` describes table bit mapping (0 -> +1, 1 -> -1).  SignalSim
+    additionally multiplies E1B by -DataBit; that data-channel sign is kept out
+    of the spreading-code provider and is reported separately.
+    """
+
+    prn_offset: int = 0
+    code_phase_offset_chips: float = 0.0
+    code_sign: int = 1
+    boc_sign: int = 1
+    doppler_sign: int = 1
+    iq_order: str = "IQ"
+    carrier_mixing_sign: int = -1
+
+
+class SignalSimCodeProvider(CodeProvider):
+    """Load Galileo E1B/E1C codes from a local SignalSim source tree."""
+
+    _E1_WORDS_PER_CODE = 128
+    _E1_CODE_COUNT = 100
+    _E1_CHIPS = 4092
+
+    def __init__(self, signalsim_path: str | Path) -> None:
+        self.signalsim_path = Path(signalsim_path).expanduser().resolve()
+        self.memory_code_path = self.signalsim_path / "src" / "MemoryCode.dat"
+        self.pilot_bit_path = self.signalsim_path / "src" / "PilotBit.cpp"
+        if not self.memory_code_path.is_file():
+            raise FileNotFoundError(f"SignalSim E1 code table not found: {self.memory_code_path}")
+        if not self.pilot_bit_path.is_file():
+            raise FileNotFoundError(f"SignalSim pilot source not found: {self.pilot_bit_path}")
+
+    @cached_property
+    def _e1_words(self) -> np.ndarray:
+        text = self.memory_code_path.read_text(encoding="utf-8")
+        match = re.search(
+            r"E1MemoryCode\s*\[\s*100\s*\*\s*128\s*\]\s*=\s*\{(?P<body>.*?)\};",
+            text,
+            flags=re.DOTALL,
+        )
+        if match is None:
+            raise ValueError(f"could not locate E1MemoryCode in {self.memory_code_path}")
+        words = np.asarray(
+            [int(token, 16) for token in re.findall(r"0x[0-9a-fA-F]+", match.group("body"))],
+            dtype=np.uint32,
+        )
+        expected = self._E1_WORDS_PER_CODE * self._E1_CODE_COUNT
+        if words.size != expected:
+            raise ValueError(f"SignalSim E1 table has {words.size} words; expected {expected}")
+        return words.reshape(self._E1_CODE_COUNT, self._E1_WORDS_PER_CODE)
+
+    @staticmethod
+    def _unpack_msb_first(words: np.ndarray) -> ChipArray:
+        # GetMemorySequence() divides a code into four 32-word sectors.  It
+        # consumes 1023 MSB-first bits from each 1024-bit sector and deliberately
+        # skips the last padding bit before advancing to the next sector.
+        sectors = words.reshape(4, 32)
+        sector_indices = np.arange(1023, dtype=np.int64)
+        bits = np.concatenate(
+            [(sector[sector_indices >> 5] >> (31 - (sector_indices & 31))) & 1 for sector in sectors]
+        )
+        # SignalSim's modulator maps a stored 0 to +1 and stored 1 to -1.
+        return np.where(bits == 0, 1, -1).astype(np.int8)
+
+    def primary_code(self, profile: SignalProfile, component: str, prn: int) -> ChipArray:
+        if profile.name != "GALILEO_E1":
+            raise ValueError(f"SignalSim E1 provider cannot serve profile {profile.name!r}")
+        if not 1 <= prn <= 50:
+            raise ValueError("SignalSim Galileo E1 PRN must be in 1..50")
+        normalized = component.upper()
+        if normalized == "E1B":
+            table_index = prn - 1
+        elif normalized == "E1C":
+            table_index = prn + 49
+        else:
+            raise ValueError(f"SignalSim E1 provider does not support component {component!r}")
+        expected = profile.component(normalized).primary_code_length_chips
+        if expected != self._E1_CHIPS:
+            raise ValueError(f"profile requests {expected} E1 chips; SignalSim table contains {self._E1_CHIPS}")
+        return self._unpack_msb_first(self._e1_words[table_index])
+
+    def secondary_code(self, profile: SignalProfile, component: str, prn: int) -> ChipArray | None:
+        del prn  # SignalSim uses one common 25-symbol E1C sequence.
+        normalized = component.upper()
+        if normalized == "E1B":
+            return None
+        if normalized != "E1C":
+            raise ValueError(f"SignalSim E1 provider does not support component {component!r}")
+        length = profile.component(normalized).secondary_code_length
+        text = self.pilot_bit_path.read_text(encoding="utf-8")
+        match = re.search(r"SecondaryCodeE1\s*\[\s*1\s*\]\s*=\s*\{\s*(0x[0-9a-fA-F]+)\s*\}", text)
+        if match is None:
+            raise ValueError(f"could not locate SecondaryCodeE1 in {self.pilot_bit_path}")
+        if length != 25:
+            raise ValueError(f"profile requests secondary length {length}; SignalSim implements 25")
+        word = int(match.group(1), 16)
+        # PilotBit.cpp addresses the word LSB first by secondary-code position.
+        bits = np.asarray([(word >> index) & 1 for index in range(length)], dtype=np.int8)
+        return np.where(bits == 0, 1, -1).astype(np.int8)
diff --git a/src/galileo_rx/tracking/__init__.py b/src/galileo_rx/tracking/__init__.py
new file mode 100644
index 0000000..80960ba
--- /dev/null
+++ b/src/galileo_rx/tracking/__init__.py
@@ -0,0 +1,7 @@
+"""Stateful single- and multi-channel tracking."""
+
+from .tracking_channel import TrackingChannel
+from .tracking_manager import TrackingManager
+
+__all__ = ["TrackingChannel", "TrackingManager"]
+
diff --git a/src/galileo_rx/tracking/cn0_estimator.py b/src/galileo_rx/tracking/cn0_estimator.py
new file mode 100644
index 0000000..85eae47
--- /dev/null
+++ b/src/galileo_rx/tracking/cn0_estimator.py
@@ -0,0 +1,31 @@
+"""Moment-based prompt C/N0 estimator."""
+
+from __future__ import annotations
+
+from collections import deque
+
+import numpy as np
+
+
+class Cn0Estimator:
+    def __init__(self, integration_time_s: float, window_epochs: int = 50, *, data_sign_insensitive: bool = False) -> None:
+        self.integration_time_s = integration_time_s
+        self.data_sign_insensitive = data_sign_insensitive
+        self.values: deque[complex] = deque(maxlen=window_epochs)
+
+    def update(self, prompt: complex) -> float | None:
+        self.values.append(prompt)
+        if len(self.values) < max(5, self.values.maxlen // 4):
+            return None
+        values = np.asarray(self.values)
+        if self.data_sign_insensitive:
+            # A locked BPSK data channel lies on the I axis.  Decision-directed
+            # polarity wipeoff retains the carrier phasor while removing data.
+            decisions = np.where(values.real >= 0.0, 1.0, -1.0)
+            values = values * decisions
+        mean_power = float(np.mean(np.abs(values) ** 2))
+        coherent_power = abs(np.mean(values)) ** 2
+        noise_power = mean_power - coherent_power
+        if coherent_power <= 0 or noise_power <= 0:
+            return None
+        return float(10 * np.log10(coherent_power / noise_power / self.integration_time_s))
diff --git a/src/galileo_rx/tracking/correlator.py b/src/galileo_rx/tracking/correlator.py
new file mode 100644
index 0000000..cb33ad2
--- /dev/null
+++ b/src/galileo_rx/tracking/correlator.py
@@ -0,0 +1,75 @@
+"""Vector and sample-oriented Galileo correlator banks."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.signal_profiles import SignalProfile
+from galileo_rx.signals.code_provider import CodeProvider
+from galileo_rx.types import CorrelatorOutputs
+from .nco import CarrierNco, CodeNco
+
+
+@dataclass(slots=True)
+class CorrelatorBank:
+    profile: SignalProfile
+    provider: CodeProvider
+    component: str
+    prn: int
+    carrier_nco: CarrierNco
+    code_nco: CodeNco
+    early_late_spacing_chips: float
+    very_early_late_spacing_chips: float
+    _code: npt.NDArray[np.int8] = field(init=False, repr=False)
+
+    def __post_init__(self) -> None:
+        self._code = self.provider.primary_code(self.profile, self.component, self.prn)
+
+    def _replica(self, phases_chips: np.ndarray, offset_chips: float) -> np.ndarray:
+        tap_phase = phases_chips + offset_chips
+        code = self._code[np.floor(tap_phase).astype(np.int64) % self._code.size]
+        boc = np.where(np.mod(tap_phase, 1.0) < 0.5, 1.0, -1.0)
+        return code * boc
+
+    def correlate(self, samples: npt.NDArray[np.generic], secondary_sign: int = 1) -> CorrelatorOutputs:
+        array = np.asarray(samples, dtype=np.complex128)
+        carrier_phase = self.carrier_nco.phases(array.size)
+        code_phase = self.code_nco.phases(array.size)
+        wiped = array * np.exp(-1j * carrier_phase) * secondary_sign
+        taps = {
+            "very_early": -self.very_early_late_spacing_chips,
+            "early": -self.early_late_spacing_chips,
+            "prompt": 0.0,
+            "late": self.early_late_spacing_chips,
+            "very_late": self.very_early_late_spacing_chips,
+        }
+        values = {name: complex(np.sum(wiped * self._replica(code_phase, offset))) for name, offset in taps.items()}
+        return CorrelatorOutputs(**values)
+
+
+@dataclass(slots=True)
+class CycleCorrelatorState:
+    """One-sample transaction model used as an RTL comparison oracle."""
+
+    accumulators: dict[str, complex]
+    sample_count: int = 0
+
+
+class SampleStreamCorrelator:
+    def __init__(self, bank: CorrelatorBank) -> None:
+        self.bank = bank
+        self.state = CycleCorrelatorState({name: 0j for name in ("very_early", "early", "prompt", "late", "very_late")})
+
+    def accept(self, sample: complex, secondary_sign: int = 1) -> None:
+        outputs = self.bank.correlate(np.asarray([sample]), secondary_sign)
+        for name in self.state.accumulators:
+            self.state.accumulators[name] += getattr(outputs, name)
+        self.state.sample_count += 1
+
+    def dump(self) -> CorrelatorOutputs:
+        result = CorrelatorOutputs(**self.state.accumulators)
+        self.state = CycleCorrelatorState({name: 0j for name in self.state.accumulators})
+        return result
diff --git a/src/galileo_rx/tracking/discriminators.py b/src/galileo_rx/tracking/discriminators.py
new file mode 100644
index 0000000..ecfe083
--- /dev/null
+++ b/src/galileo_rx/tracking/discriminators.py
@@ -0,0 +1,51 @@
+"""Tracking discriminators with explicit output units."""
+
+from __future__ import annotations
+
+import numpy as np
+
+
+def pll_two_quadrant_rad(prompt: complex) -> float:
+    """Decision-directed carrier phase error in radians, range +/-pi/2."""
+    return float(np.arctan(prompt.imag / prompt.real)) if prompt.real != 0 else float(np.sign(prompt.imag) * np.pi / 2)
+
+
+def pll_four_quadrant_rad(prompt: complex) -> float:
+    """Pilot carrier phase error in radians, range +/-pi."""
+    return float(np.arctan2(prompt.imag, prompt.real))
+
+
+def fll_phase_difference_hz(previous_prompt: complex | None, prompt: complex, integration_time_s: float) -> float:
+    """Cross-product/phase-difference FLL error in hertz."""
+    if previous_prompt is None or integration_time_s <= 0 or previous_prompt == 0 or prompt == 0:
+        return 0.0
+    return float(np.angle(prompt * np.conjugate(previous_prompt)) / (2.0 * np.pi * integration_time_s))
+
+
+def fll_bpsk_phase_difference_hz(previous_prompt: complex | None, prompt: complex, integration_time_s: float) -> float:
+    """BPSK-data-insensitive phase-difference FLL error in hertz.
+
+    Squaring the inter-epoch phasor removes a possible pi-radian data-symbol
+    transition.  The unambiguous range is consequently +/-1/(4*T).
+    """
+    if previous_prompt is None or integration_time_s <= 0 or previous_prompt == 0 or prompt == 0:
+        return 0.0
+    difference = prompt * np.conjugate(previous_prompt)
+    return float(np.angle(difference * difference) / (4.0 * np.pi * integration_time_s))
+
+
+def dll_normalized_envelope_chips(early: complex, late: complex, spacing_chips: float) -> float:
+    """Normalized E-minus-L envelope, calibrated to chip units near lock."""
+    early_mag, late_mag = abs(early), abs(late)
+    return float(spacing_chips * (early_mag - late_mag) / max(early_mag + late_mag, np.finfo(float).tiny))
+
+
+def dll_noncoherent_power_chips(early: complex, late: complex, spacing_chips: float) -> float:
+    early_power, late_power = abs(early) ** 2, abs(late) ** 2
+    return float(spacing_chips * (early_power - late_power) / max(early_power + late_power, np.finfo(float).tiny))
+
+
+def dll_dot_product_chips(early: complex, late: complex, prompt: complex, spacing_chips: float) -> float:
+    numerator = np.real((early - late) * np.conjugate(prompt))
+    denominator = max(abs(prompt) ** 2, np.finfo(float).tiny)
+    return float(0.5 * spacing_chips * numerator / denominator)
diff --git a/src/galileo_rx/tracking/lock_detector.py b/src/galileo_rx/tracking/lock_detector.py
new file mode 100644
index 0000000..fb1c885
--- /dev/null
+++ b/src/galileo_rx/tracking/lock_detector.py
@@ -0,0 +1,39 @@
+"""Lock metrics and hysteretic failure counting."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+
+from galileo_rx.types import CorrelatorOutputs
+
+
+@dataclass(slots=True)
+class LockStatus:
+    carrier_metric: float
+    code_metric: float
+    locked: bool
+    cycle_slip: bool
+    side_peak_suspected: bool
+
+
+class LockDetector:
+    def __init__(self, failure_limit: int = 10) -> None:
+        self.failure_limit = failure_limit
+        self.failures = 0
+        self.previous_phase: float | None = None
+
+    def update(self, correlators: CorrelatorOutputs) -> LockStatus:
+        prompt_power = abs(correlators.prompt) ** 2
+        carrier_metric = float(abs(correlators.prompt.real) / max(abs(correlators.prompt), np.finfo(float).tiny))
+        code_metric = float(prompt_power / max(0.5 * (abs(correlators.early) ** 2 + abs(correlators.late) ** 2), np.finfo(float).tiny))
+        phase = float(np.angle(correlators.prompt))
+        cycle_slip = self.previous_phase is not None and abs(float(np.angle(np.exp(1j * (phase - self.previous_phase))))) > 0.9 * np.pi
+        self.previous_phase = phase
+        locked = carrier_metric > 0.55 and code_metric > 0.5
+        self.failures = 0 if locked else self.failures + 1
+        vevl = max(abs(correlators.very_early), abs(correlators.very_late))
+        side_peak = vevl > 1.25 * max(abs(correlators.prompt), np.finfo(float).tiny)
+        return LockStatus(carrier_metric, code_metric, locked, cycle_slip, side_peak)
+
diff --git a/src/galileo_rx/tracking/loop_filters.py b/src/galileo_rx/tracking/loop_filters.py
new file mode 100644
index 0000000..d971692
--- /dev/null
+++ b/src/galileo_rx/tracking/loop_filters.py
@@ -0,0 +1,70 @@
+"""Loop filters derived from noise bandwidth and damping parameters."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+
+def second_order_natural_frequency_rad_s(noise_bandwidth_hz: float, damping_ratio: float) -> float:
+    """Convert one-sided equivalent noise bandwidth to natural radian frequency."""
+    if noise_bandwidth_hz <= 0 or damping_ratio <= 0:
+        raise ValueError("bandwidth and damping ratio must be positive")
+    return 8.0 * damping_ratio * noise_bandwidth_hz / (4.0 * damping_ratio**2 + 1.0)
+
+
+@dataclass(slots=True)
+class SecondOrderLoopFilter:
+    noise_bandwidth_hz: float
+    damping_ratio: float = 0.707
+    integrator: float = 0.0
+    proportional_gain: float = field(init=False)
+    integral_gain: float = field(init=False)
+
+    def __post_init__(self) -> None:
+        wn = second_order_natural_frequency_rad_s(self.noise_bandwidth_hz, self.damping_ratio)
+        self.proportional_gain = 2.0 * self.damping_ratio * wn
+        self.integral_gain = wn**2
+
+    def update(self, error: float, integration_time_s: float) -> float:
+        if integration_time_s <= 0:
+            raise ValueError("integration_time_s must be positive")
+        self.integrator += self.integral_gain * error * integration_time_s
+        return self.proportional_gain * error + self.integrator
+
+
+@dataclass(slots=True)
+class ThirdOrderLoopFilter:
+    """Type-III filter using a repeated stable pole derived from Bn.
+
+    The continuous correction is ``3*w*e + 3*w^2*integral(e) +
+    w^3*double_integral(e)``. This explicit pole placement provides a
+    deterministic starting point for later loop optimization.
+    """
+
+    noise_bandwidth_hz: float
+    damping_ratio: float = 0.707
+    first_integrator: float = 0.0
+    second_integrator: float = 0.0
+    omega_rad_s: float = field(init=False)
+
+    def __post_init__(self) -> None:
+        self.omega_rad_s = second_order_natural_frequency_rad_s(self.noise_bandwidth_hz, self.damping_ratio)
+
+    def update(self, error: float, integration_time_s: float) -> float:
+        if integration_time_s <= 0:
+            raise ValueError("integration_time_s must be positive")
+        self.first_integrator += error * integration_time_s
+        self.second_integrator += self.first_integrator * integration_time_s
+        w = self.omega_rad_s
+        return 3.0 * w * error + 3.0 * w**2 * self.first_integrator + w**3 * self.second_integrator
+
+
+@dataclass(slots=True)
+class FirstOrderFllFilter:
+    noise_bandwidth_hz: float
+    output_hz: float = 0.0
+
+    def update(self, error_hz: float, integration_time_s: float) -> float:
+        alpha = min(1.0, 2.0 * self.noise_bandwidth_hz * integration_time_s)
+        self.output_hz += alpha * (error_hz - self.output_hz)
+        return self.output_hz
diff --git a/src/galileo_rx/tracking/nco.py b/src/galileo_rx/tracking/nco.py
new file mode 100644
index 0000000..9ac9232
--- /dev/null
+++ b/src/galileo_rx/tracking/nco.py
@@ -0,0 +1,33 @@
+"""Carrier and fractional-chip code NCO states."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+
+
+@dataclass(slots=True)
+class CarrierNco:
+    sampling_frequency_hz: float
+    frequency_hz: float
+    phase_rad: float = 0.0
+
+    def phases(self, sample_count: int) -> np.ndarray:
+        phase = self.phase_rad + 2.0 * np.pi * self.frequency_hz / self.sampling_frequency_hz * np.arange(sample_count)
+        self.phase_rad = float((self.phase_rad + 2.0 * np.pi * self.frequency_hz / self.sampling_frequency_hz * sample_count) % (2.0 * np.pi))
+        return phase
+
+
+@dataclass(slots=True)
+class CodeNco:
+    sampling_frequency_hz: float
+    code_length_chips: int
+    frequency_hz: float
+    phase_chips: float = 0.0
+
+    def phases(self, sample_count: int) -> np.ndarray:
+        phase = self.phase_chips + self.frequency_hz / self.sampling_frequency_hz * np.arange(sample_count)
+        self.phase_chips = float((self.phase_chips + self.frequency_hz / self.sampling_frequency_hz * sample_count) % self.code_length_chips)
+        return phase
+
diff --git a/src/galileo_rx/tracking/symbol_sync.py b/src/galileo_rx/tracking/symbol_sync.py
new file mode 100644
index 0000000..338fd32
--- /dev/null
+++ b/src/galileo_rx/tracking/symbol_sync.py
@@ -0,0 +1,133 @@
+"""Navigation-symbol recovery and pilot secondary-code synchronization."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+import numpy as np
+import numpy.typing as npt
+
+
+@dataclass(frozen=True, slots=True)
+class SymbolComparison:
+    recovered_symbols: int
+    compared_symbols: int
+    alignment_offset_symbols: int
+    sign_inverted: bool
+    symbol_errors: int
+    symbol_error_rate: float
+
+
+@dataclass(frozen=True, slots=True)
+class SecondaryCodeSyncResult:
+    phase: int
+    residual_frequency_hz: float
+    normalized_correlation: float
+    compared_periods: int
+    sign_errors: int
+
+
+def recover_bpsk_symbols(
+    prompt_values: npt.ArrayLike,
+    epochs_per_symbol: int,
+    *,
+    ignored_epochs: int = 0,
+) -> tuple[npt.NDArray[np.int8], npt.NDArray[np.float64]]:
+    """Accumulate decision-directed prompt I and return +/-1 raw symbols."""
+    prompts = np.asarray(prompt_values, dtype=np.complex128).reshape(-1)
+    if epochs_per_symbol <= 0 or ignored_epochs < 0:
+        raise ValueError("epochs_per_symbol must be positive and ignored_epochs nonnegative")
+    usable = prompts[ignored_epochs:]
+    symbol_count = usable.size // epochs_per_symbol
+    coherent_i = usable[: symbol_count * epochs_per_symbol].real.reshape(symbol_count, epochs_per_symbol).sum(axis=1)
+    symbols = np.where(coherent_i >= 0.0, 1, -1).astype(np.int8)
+    return symbols, np.asarray(coherent_i, dtype=np.float64)
+
+
+def compare_symbol_streams(
+    recovered: npt.ArrayLike,
+    expected: npt.ArrayLike,
+    *,
+    max_alignment_offset_symbols: int,
+    minimum_compared_symbols: int = 1,
+) -> SymbolComparison:
+    """Compare +/-1 streams with bounded offset and one global sign ambiguity."""
+    rx = np.asarray(recovered, dtype=np.int8).reshape(-1)
+    truth = np.asarray(expected, dtype=np.int8).reshape(-1)
+    if max_alignment_offset_symbols < 0 or minimum_compared_symbols <= 0:
+        raise ValueError("alignment bound must be nonnegative and comparison length positive")
+    if not set(rx.tolist()) <= {-1, 1} or not set(truth.tolist()) <= {-1, 1}:
+        raise ValueError("symbol streams must contain only +/-1")
+    candidates: list[tuple[int, int, int, bool, int]] = []
+    for offset in range(-max_alignment_offset_symbols, max_alignment_offset_symbols + 1):
+        rx_start = max(0, -offset)
+        truth_start = max(0, offset)
+        count = min(rx.size - rx_start, truth.size - truth_start)
+        if count < minimum_compared_symbols:
+            continue
+        lhs = rx[rx_start : rx_start + count]
+        rhs = truth[truth_start : truth_start + count]
+        for inverted in (False, True):
+            errors = int(np.count_nonzero(lhs != (-rhs if inverted else rhs)))
+            candidates.append((errors, -count, offset, inverted, count))
+    if not candidates:
+        raise ValueError("streams do not overlap for the requested bounded alignment")
+    errors, negative_count, offset, inverted, count = min(candidates)
+    del negative_count
+    return SymbolComparison(rx.size, count, offset, inverted, errors, errors / count)
+
+
+def synchronize_secondary_code(
+    prompt_values: npt.ArrayLike,
+    secondary_code: npt.ArrayLike,
+    integration_time_s: float,
+    *,
+    residual_frequency_min_hz: float = -125.0,
+    residual_frequency_max_hz: float = 125.0,
+    residual_frequency_step_hz: float = 1.0,
+) -> SecondaryCodeSyncResult:
+    """Jointly search secondary phase and residual carrier frequency.
+
+    The correlation is complex, so an unknown constant carrier phase does not
+    affect the metric.  Frequency search prevents residual phase rotation from
+    destroying the 25-period coherent sum.
+    """
+    prompts = np.asarray(prompt_values, dtype=np.complex128).reshape(-1)
+    secondary = np.asarray(secondary_code, dtype=np.int8).reshape(-1)
+    if prompts.size == 0 or secondary.size == 0 or integration_time_s <= 0:
+        raise ValueError("nonempty prompts/secondary and positive integration time are required")
+    if not set(secondary.tolist()) <= {-1, 1}:
+        raise ValueError("secondary code must contain only +/-1")
+    frequencies = np.arange(
+        residual_frequency_min_hz,
+        residual_frequency_max_hz + 0.5 * residual_frequency_step_hz,
+        residual_frequency_step_hz,
+        dtype=np.float64,
+    )
+    if residual_frequency_step_hz <= 0 or frequencies.size == 0:
+        raise ValueError("invalid residual-frequency search")
+    epochs = np.arange(prompts.size, dtype=np.float64)
+    carrier = np.exp(-2j * np.pi * frequencies[:, None] * integration_time_s * epochs[None, :])
+    derotated = carrier * prompts[None, :]
+    denominator = max(float(np.sum(np.abs(prompts))), np.finfo(np.float64).tiny)
+    best_metric = -1.0
+    best_phase = 0
+    best_frequency_index = 0
+    best_sum = 0j
+    for phase in range(secondary.size):
+        signs = secondary[(phase + np.arange(prompts.size)) % secondary.size]
+        sums = derotated @ signs.astype(np.float64)
+        index = int(np.argmax(np.abs(sums)))
+        metric = float(abs(sums[index]) / denominator)
+        if metric > best_metric:
+            best_metric = metric
+            best_phase = phase
+            best_frequency_index = index
+            best_sum = complex(sums[index])
+    best_frequency = float(frequencies[best_frequency_index])
+    signs = secondary[(best_phase + np.arange(prompts.size)) % secondary.size]
+    corrected = prompts * np.exp(-2j * np.pi * best_frequency * integration_time_s * epochs)
+    corrected *= np.exp(-1j * np.angle(best_sum))
+    decisions = np.where(corrected.real >= 0.0, 1, -1)
+    errors = int(np.count_nonzero(decisions != signs))
+    return SecondaryCodeSyncResult(best_phase, best_frequency, best_metric, prompts.size, errors)
diff --git a/src/galileo_rx/tracking/tracking_channel.py b/src/galileo_rx/tracking/tracking_channel.py
new file mode 100644
index 0000000..5f3c03c
--- /dev/null
+++ b/src/galileo_rx/tracking/tracking_channel.py
@@ -0,0 +1,174 @@
+"""Independent Galileo component tracking channel state machine."""
+
+from __future__ import annotations
+
+import numpy as np
+import numpy.typing as npt
+
+from galileo_rx.config import TrackingConfig
+from galileo_rx.signal_profiles import SignalProfile
+from galileo_rx.signals.code_provider import CodeProvider
+from galileo_rx.types import AcquisitionResult, CorrelatorOutputs, TrackingMeasurement, TrackingState
+from .cn0_estimator import Cn0Estimator
+from .correlator import CorrelatorBank
+from .discriminators import (
+    dll_normalized_envelope_chips,
+    fll_bpsk_phase_difference_hz,
+    fll_phase_difference_hz,
+    pll_four_quadrant_rad,
+    pll_two_quadrant_rad,
+)
+from .lock_detector import LockDetector
+from .loop_filters import FirstOrderFllFilter, SecondOrderLoopFilter, ThirdOrderLoopFilter
+from .nco import CarrierNco, CodeNco
+
+
+class TrackingChannel:
+    def __init__(
+        self,
+        profile: SignalProfile,
+        provider: CodeProvider,
+        sampling_frequency_hz: float,
+        config: TrackingConfig,
+        acquisition: AcquisitionResult,
+        start_sample_index: int = 0,
+        secondary_code_phase_at_start: int | None = None,
+    ) -> None:
+        config.validate()
+        self.profile = profile
+        self.provider = provider
+        self.sampling_frequency_hz = sampling_frequency_hz
+        self.config = config
+        self.acquisition = acquisition
+        self.component_spec = profile.component(acquisition.component)
+        self.integration_samples = int(round(config.integration_ms * 1e-3 * sampling_frequency_hz))
+        if not np.isclose(self.integration_samples, config.integration_ms * 1e-3 * sampling_frequency_hz, atol=1e-6):
+            raise ValueError("tracking integration is not an integer number of samples")
+        initial_code_phase = (
+            -acquisition.code_phase_chips + start_sample_index * profile.code_rate_hz / sampling_frequency_hz
+        ) % self.component_spec.primary_code_length_chips
+        initial_carrier_phase = 2.0 * np.pi * acquisition.carrier_frequency_hz * start_sample_index / sampling_frequency_hz
+        self.carrier_nco = CarrierNco(sampling_frequency_hz, acquisition.carrier_frequency_hz, initial_carrier_phase % (2 * np.pi))
+        initial_code_frequency_hz = profile.code_rate_hz * (
+            1.0 + acquisition.doppler_hz / profile.carrier_frequency_hz
+        )
+        self.code_nco = CodeNco(
+            sampling_frequency_hz,
+            self.component_spec.primary_code_length_chips,
+            initial_code_frequency_hz,
+            initial_code_phase,
+        )
+        self.correlator = CorrelatorBank(
+            profile, provider, acquisition.component, acquisition.prn, self.carrier_nco, self.code_nco,
+            config.early_late_spacing_chips, config.very_early_late_spacing_chips,
+        )
+        self.pll_filter = ThirdOrderLoopFilter(config.pll_noise_bandwidth_hz, config.damping_ratio) if config.pll_order == 3 else SecondOrderLoopFilter(config.pll_noise_bandwidth_hz, config.damping_ratio)
+        self.dll_filter = SecondOrderLoopFilter(config.dll_noise_bandwidth_hz, config.damping_ratio)
+        self.fll_filter = FirstOrderFllFilter(config.fll_noise_bandwidth_hz)
+        self.lock_detector = LockDetector(config.loss_of_lock_epochs)
+        self.cn0_estimator = Cn0Estimator(
+            config.integration_ms * 1e-3,
+            data_sign_insensitive=self.component_spec.channel_type == "data",
+        )
+        self.state = TrackingState.ACQUIRED
+        self.epoch = 0
+        self.previous_prompt: complex | None = None
+        self.measurements: list[TrackingMeasurement] = []
+        self.last_correlators = CorrelatorOutputs()
+        self.nominal_carrier_hz = acquisition.carrier_frequency_hz
+        # Acquisition reports the NCO frequency as IF center plus Doppler.  Code
+        # aiding must use range-rate Doppler only; feeding the IF itself into
+        # f_code/f_carrier would be a MHz-scale unit-boundary error.
+        self.carrier_center_hz = acquisition.carrier_frequency_hz - acquisition.doppler_hz
+        self._pll_reference_frequency_hz = acquisition.carrier_frequency_hz
+        self._pll_active = False
+        self.secondary_epoch_offset = (
+            int(secondary_code_phase_at_start)
+            if secondary_code_phase_at_start is not None
+            else int(np.floor(start_sample_index / (self.component_spec.primary_code_period_s * sampling_frequency_hz)))
+        )
+
+    def _secondary_sign(self) -> int:
+        if self.component_spec.channel_type != "pilot" or self.config.secondary_code_mode == "none":
+            return 1
+        secondary = self.provider.secondary_code(self.profile, self.acquisition.component, self.acquisition.prn)
+        if secondary is None:
+            return 1
+        return int(secondary[(self.secondary_epoch_offset + self.epoch) % secondary.size])
+
+    def process_epoch(self, samples: npt.NDArray[np.generic]) -> TrackingMeasurement:
+        if len(samples) != self.integration_samples:
+            raise ValueError(f"tracking epoch requires {self.integration_samples} samples")
+        dt_s = self.config.integration_ms * 1e-3
+        correlators = self.correlator.correlate(samples, self._secondary_sign())
+        self.last_correlators = correlators
+        pll_error = pll_two_quadrant_rad(correlators.prompt) if self.component_spec.channel_type == "data" else pll_four_quadrant_rad(correlators.prompt)
+        fll_error = (
+            fll_bpsk_phase_difference_hz(self.previous_prompt, correlators.prompt, dt_s)
+            if self.component_spec.channel_type == "data"
+            else fll_phase_difference_hz(self.previous_prompt, correlators.prompt, dt_s)
+        )
+        dll_error = dll_normalized_envelope_chips(correlators.early, correlators.late, self.config.early_late_spacing_chips)
+        elapsed_ms = (self.epoch + 1) * self.config.integration_ms
+        if self.state == TrackingState.ACQUIRED:
+            self.state = TrackingState.FLL_PULL_IN if self.config.use_fll_assist else TrackingState.PLL_TRACK
+        use_fll = self.config.use_fll_assist and elapsed_ms <= self.config.pull_in_duration_ms
+        if use_fll:
+            correction_hz = self.fll_filter.update(fll_error, dt_s)
+            self.carrier_nco.frequency_hz += correction_hz
+            self.state = TrackingState.FLL_PULL_IN
+        else:
+            if not self._pll_active:
+                self._pll_reference_frequency_hz = self.carrier_nco.frequency_hz
+                self._pll_active = True
+            correction_hz = self.pll_filter.update(pll_error, dt_s) / (2.0 * np.pi)
+            self.carrier_nco.frequency_hz = self._pll_reference_frequency_hz + correction_hz
+            self.state = TrackingState.PLL_TRACK
+        code_correction_hz = self.dll_filter.update(dll_error, dt_s)
+        carrier_doppler_hz = self.carrier_nco.frequency_hz - self.carrier_center_hz
+        aiding_hz = (
+            carrier_doppler_hz / self.profile.carrier_frequency_hz * self.profile.code_rate_hz
+            if self.config.carrier_aiding
+            else 0.0
+        )
+        # Positive E-L means the local phase must be retarded for the phase
+        # convention used by CodeNco, hence the negative actuator sign.
+        self.code_nco.frequency_hz = self.profile.code_rate_hz + aiding_hz - code_correction_hz
+        cn0 = self.cn0_estimator.update(correlators.prompt)
+        lock = self.lock_detector.update(correlators)
+        reacquire = self.lock_detector.failures >= self.config.loss_of_lock_epochs
+        if reacquire:
+            self.state = TrackingState.REACQUISITION
+        elif cn0 is not None and cn0 < self.config.weak_signal_cn0_db_hz:
+            self.state = TrackingState.WEAK_SIGNAL
+        measurement = TrackingMeasurement(
+            epoch=self.epoch,
+            time_s=(self.epoch + 1) * dt_s,
+            state=self.state,
+            prompt_i=float(correlators.prompt.real),
+            prompt_q=float(correlators.prompt.imag),
+            early_magnitude=float(abs(correlators.early)),
+            late_magnitude=float(abs(correlators.late)),
+            pll_error_rad=pll_error,
+            fll_error_hz=fll_error,
+            dll_error_chips=dll_error,
+            carrier_frequency_hz=self.carrier_nco.frequency_hz,
+            code_frequency_hz=self.code_nco.frequency_hz,
+            carrier_phase_rad=self.carrier_nco.phase_rad,
+            code_phase_chips=self.code_nco.phase_chips,
+            cn0_db_hz=cn0,
+            carrier_lock_metric=lock.carrier_metric,
+            code_lock_metric=lock.code_metric,
+            cycle_slip=lock.cycle_slip,
+            side_peak_suspected=lock.side_peak_suspected,
+            reacquisition_requested=reacquire,
+        )
+        self.previous_prompt = correlators.prompt
+        self.measurements.append(measurement)
+        self.epoch += 1
+        return measurement
+
+    def process(self, samples: npt.NDArray[np.generic]) -> list[TrackingMeasurement]:
+        array = np.asarray(samples)
+        epochs = array.size // self.integration_samples
+        return [self.process_epoch(array[index * self.integration_samples : (index + 1) * self.integration_samples]) for index in range(epochs)]
diff --git a/src/galileo_rx/tracking/tracking_manager.py b/src/galileo_rx/tracking/tracking_manager.py
new file mode 100644
index 0000000..9e2a2d3
--- /dev/null
+++ b/src/galileo_rx/tracking/tracking_manager.py
@@ -0,0 +1,30 @@
+"""Multi-channel scheduler with separate E1B/E1C logical channels."""
+
+from __future__ import annotations
+
+import numpy.typing as npt
+
+from galileo_rx.config import TrackingConfig
+from galileo_rx.signal_profiles import SignalProfile
+from galileo_rx.signals.code_provider import CodeProvider
+from galileo_rx.types import AcquisitionResult, TrackingMeasurement
+from .tracking_channel import TrackingChannel
+
+
+class TrackingManager:
+    def __init__(self, profile: SignalProfile, provider: CodeProvider, sampling_frequency_hz: float, config: TrackingConfig) -> None:
+        self.profile = profile
+        self.provider = provider
+        self.sampling_frequency_hz = sampling_frequency_hz
+        self.config = config
+        self.channels: dict[tuple[int, str], TrackingChannel] = {}
+
+    def add_channel(self, acquisition: AcquisitionResult, start_sample_index: int = 0) -> TrackingChannel:
+        key = (acquisition.prn, acquisition.component)
+        channel = TrackingChannel(self.profile, self.provider, self.sampling_frequency_hz, self.config, acquisition, start_sample_index)
+        self.channels[key] = channel
+        return channel
+
+    def process_epoch(self, samples: npt.NDArray, keys: list[tuple[int, str]] | None = None) -> dict[tuple[int, str], TrackingMeasurement]:
+        selected = keys if keys is not None else list(self.channels)
+        return {key: self.channels[key].process_epoch(samples) for key in selected}
diff --git a/src/galileo_rx/types.py b/src/galileo_rx/types.py
new file mode 100644
index 0000000..c16297e
--- /dev/null
+++ b/src/galileo_rx/types.py
@@ -0,0 +1,102 @@
+"""Shared, unit-explicit data transfer objects."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Any
+
+import numpy as np
+import numpy.typing as npt
+
+ComplexArray = npt.NDArray[np.complexfloating[Any, Any]]
+FloatArray = npt.NDArray[np.floating[Any]]
+
+
+class TrackingState(str, Enum):
+    IDLE = "IDLE"
+    ACQUIRED = "ACQUIRED"
+    FLL_PULL_IN = "FLL_PULL_IN"
+    FLL_PLL_TRANSITION = "FLL_PLL_TRANSITION"
+    PLL_TRACK = "PLL_TRACK"
+    WEAK_SIGNAL = "WEAK_SIGNAL"
+    LOSS_OF_LOCK = "LOSS_OF_LOCK"
+    REACQUISITION = "REACQUISITION"
+
+
+@dataclass(slots=True)
+class AcquisitionResult:
+    detected: bool
+    prn: int
+    component: str
+    code_phase_samples: float
+    code_phase_chips: float
+    doppler_hz: float
+    carrier_frequency_hz: float
+    peak_power: float
+    second_peak_power: float
+    detection_metric: float
+    estimated_cn0_db_hz: float | None
+    coherent_integration_ms: float
+    noncoherent_accumulations: int
+    raw_code_phase_samples: int = 0
+    raw_doppler_hz: float = 0.0
+    metrics: dict[str, float] = field(default_factory=dict)
+    side_peak_suspected: bool = False
+
+
+@dataclass(slots=True)
+class CorrelatorOutputs:
+    very_early: complex = 0j
+    early: complex = 0j
+    prompt: complex = 0j
+    late: complex = 0j
+    very_late: complex = 0j
+
+
+@dataclass(slots=True)
+class TrackingMeasurement:
+    epoch: int
+    time_s: float
+    state: TrackingState
+    prompt_i: float
+    prompt_q: float
+    early_magnitude: float
+    late_magnitude: float
+    pll_error_rad: float
+    fll_error_hz: float
+    dll_error_chips: float
+    carrier_frequency_hz: float
+    code_frequency_hz: float
+    carrier_phase_rad: float
+    code_phase_chips: float
+    cn0_db_hz: float | None
+    carrier_lock_metric: float
+    code_lock_metric: float
+    cycle_slip: bool = False
+    side_peak_suspected: bool = False
+    reacquisition_requested: bool = False
+
+
+@dataclass(slots=True)
+class SatelliteTruth:
+    prn: int
+    component: str
+    initial_code_delay_chips: float
+    initial_code_delay_samples: float
+    initial_doppler_hz: float
+    doppler_rate_hz_s: float
+    initial_carrier_phase_rad: float
+    amplitude: float
+    cn0_db_hz: float | None
+
+
+@dataclass(slots=True)
+class GenerationTruth:
+    sampling_frequency_hz: float
+    intermediate_frequency_hz: float
+    input_is_real_if: bool
+    start_sample: int
+    sample_count: int
+    satellites: list[SatelliteTruth]
+
diff --git a/src/galileo_rx/verification/__init__.py b/src/galileo_rx/verification/__init__.py
new file mode 100644
index 0000000..6186e04
--- /dev/null
+++ b/src/galileo_rx/verification/__init__.py
@@ -0,0 +1 @@
+"""External-vector verification flows."""
diff --git a/src/galileo_rx/verification/signalsim_validation.py b/src/galileo_rx/verification/signalsim_validation.py
new file mode 100644
index 0000000..b4008ae
--- /dev/null
+++ b/src/galileo_rx/verification/signalsim_validation.py
@@ -0,0 +1,591 @@
+"""Executable end-to-end validation against a local globsky/SignalSim tree."""
+
+from __future__ import annotations
+
+from dataclasses import asdict, replace
+from hashlib import sha256
+import json
+import math
+from pathlib import Path
+import subprocess
+import time
+from typing import Any
+
+import numpy as np
+import yaml
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import AcquisitionConfig, TrackingConfig
+from galileo_rx.diagnostics.plots import (
+    acquisition_map,
+    acquisition_peak_neighborhood,
+    acquisition_profiles,
+    prompt_constellation,
+    tracking_diagnostics,
+)
+from galileo_rx.diagnostics.reports import export_tracking_csv
+from galileo_rx.fixed_point.fixed_acquisition import FixedPcpsAcquisition
+from galileo_rx.fixed_point.formats import FixedFormat
+from galileo_rx.io.signalsim_reader import SignalSimReader, SignalSimSampleSpec
+from galileo_rx.rtl_model.vector_export import export_timed_complex_hex
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.galileo_e1 import e1_local_replica
+from galileo_rx.signals.signalsim_codes import SignalSimCodeProvider
+from galileo_rx.tracking.correlator import CorrelatorBank
+from galileo_rx.tracking.nco import CarrierNco, CodeNco
+from galileo_rx.tracking.symbol_sync import recover_bpsk_symbols, synchronize_secondary_code
+from galileo_rx.tracking.tracking_channel import TrackingChannel
+
+
+def locate_signalsim(start: str | Path) -> Path:
+    start_path = Path(start).resolve()
+    roots = [start_path, *start_path.parents[:3], Path.home() / "Desktop", Path.home() / "projects", Path.home() / "src"]
+    names = ("SignalSim", "signalsim", "signal-sim")
+    candidates: list[Path] = []
+    for root in roots:
+        for name in names:
+            candidates.extend((root / name, root / "signalsim" / name))
+    for candidate in candidates:
+        if (candidate / "IFdataGen" / "CMakeLists.txt").is_file() and (candidate / "src" / "PrnGenerate.cpp").is_file():
+            return candidate.resolve()
+    raise FileNotFoundError("could not locate a SignalSim source tree from the workspace or common project directories")
+
+
+def _git(source: Path, *args: str) -> str:
+    return subprocess.check_output(["git", "-C", str(source), *args], text=True).strip()
+
+
+def _hash_file(path: Path) -> str:
+    digest = sha256()
+    with path.open("rb") as stream:
+        for block in iter(lambda: stream.read(1024 * 1024), b""):
+            digest.update(block)
+    return digest.hexdigest()
+
+
+def _save_figure(figure: Any, path: Path) -> None:
+    figure.savefig(path, dpi=140, bbox_inches="tight")
+    import matplotlib.pyplot as plt
+    plt.close(figure)
+
+
+def _tracking_summary(measurements: list[Any], if_hz: float, expected_doppler_hz: float) -> dict[str, Any]:
+    tail_count = min(200, len(measurements))
+    tail = measurements[-tail_count:]
+    doppler = np.asarray([item.carrier_frequency_hz - if_hz for item in tail], dtype=np.float64)
+    dll = np.asarray([item.dll_error_chips for item in tail], dtype=np.float64)
+    prompt = np.asarray([complex(item.prompt_i, item.prompt_q) for item in tail], dtype=np.complex128)
+    return {
+        "epoch_count": len(measurements),
+        "tail_epoch_count": tail_count,
+        "final_state": measurements[-1].state.value,
+        "reacquisition_epoch_count": sum(item.reacquisition_requested for item in measurements),
+        "loss_of_lock_flag_count": sum(item.state.value in {"LOSS_OF_LOCK", "REACQUISITION"} for item in measurements),
+        "estimated_doppler_hz": float(np.mean(doppler)),
+        "doppler_error_hz": float(np.mean(doppler) - expected_doppler_hz),
+        "doppler_jitter_hz_rms": float(np.std(doppler)),
+        "dll_error_chips_rms": float(np.sqrt(np.mean(dll * dll))),
+        "mean_prompt_magnitude": float(np.mean(np.abs(prompt))),
+        "mean_carrier_lock_metric": float(np.mean([item.carrier_lock_metric for item in tail])),
+        "mean_code_lock_metric": float(np.mean([item.code_lock_metric for item in tail])),
+        "median_cn0_db_hz": float(np.nanmedian([np.nan if item.cn0_db_hz is None else item.cn0_db_hz for item in tail])),
+    }
+
+
+def validate_signalsim(source_path: str | Path, config_path: str | Path, output_dir: str | Path, *, mode: str | None = None) -> tuple[dict[str, Any], bool]:
+    source = Path(source_path).resolve()
+    config_file = Path(config_path).resolve()
+    project_root = config_file.parent.parent
+    cfg = yaml.safe_load(config_file.read_text(encoding="utf-8"))
+    selected_mode = mode or cfg.get("mode", "quick")
+    if selected_mode not in {"quick", "full"}:
+        raise ValueError("SignalSim validation mode must be quick or full")
+    out = Path(output_dir).resolve()
+    out.mkdir(parents=True, exist_ok=True)
+    vector_cfg = cfg["vector"]
+    samples_path = project_root / vector_cfg["samples"]
+    if not samples_path.is_file():
+        generator = project_root / "tools" / "generate_signalsim_vectors.py"
+        subprocess.run([str(generator), "--signalsim-path", str(source), "--project-root", str(project_root)], check=True)
+    fs = float(vector_cfg["sampling_frequency_hz"])
+    if_hz = float(vector_cfg["intermediate_frequency_hz"])
+    expected_doppler_hz = float(vector_cfg["expected_doppler_hz"])
+    prn = int(vector_cfg["prn"])
+    reader = SignalSimReader(samples_path, SignalSimSampleSpec(vector_cfg["sample_format"]), memory_map=True)
+    samples = reader.read()
+    profile = galileo_e1_profile()
+    provider = SignalSimCodeProvider(source)
+    acq_cfg = AcquisitionConfig(**cfg["acquisition"], parallelism="doppler_vectorized")
+    manager = AcquisitionManager(profile, provider, fs, acq_cfg)
+    acquisition_samples = manager.engine.coherent_samples * acq_cfg.noncoherent_accumulations
+    acquisition: dict[str, Any] = {}
+    grids: dict[str, Any] = {}
+    for component in ("E1B", "E1C"):
+        started = time.perf_counter()
+        result, grid = manager.acquire_one(samples[:acquisition_samples], component, prn, if_hz)
+        elapsed = time.perf_counter() - started
+        item = asdict(result)
+        item.update({
+            "expected_prn": prn,
+            "expected_doppler_hz": expected_doppler_hz,
+            "raw_doppler_error_hz": result.raw_doppler_hz - expected_doppler_hz,
+            "interpolated_doppler_error_hz": result.doppler_hz - expected_doppler_hz,
+            "expected_code_phase_samples": vector_cfg.get("expected_code_phase_samples"),
+            "code_phase_error_samples": None,
+            "processing_time_s": elapsed,
+            "overflow_count": 0,
+        })
+        acquisition[component] = item
+        grids[component] = grid
+        _save_figure(acquisition_map(grid.power, grid.doppler_bins_hz, f"SignalSim {component} PRN {prn}"), out / f"acquisition_map_{component.lower()}.png")
+        _save_figure(acquisition_profiles(grid.power, grid.doppler_bins_hz), out / f"acquisition_profiles_{component.lower()}.png")
+        _save_figure(acquisition_peak_neighborhood(grid.power, fs / profile.code_rate_hz), out / f"acquisition_peak_neighborhood_{component.lower()}.png")
+
+    e1b_result = manager.acquire_one(samples[:acquisition_samples], "E1B", prn, if_hz)[0]
+    primary_samples = int(round(fs * profile.component("E1B").primary_code_period_s))
+    boundary_start = int(round(e1b_result.code_phase_samples + math.ceil((acquisition_samples - e1b_result.code_phase_samples) / primary_samples) * primary_samples))
+    tracking_cfg = cfg["tracking"]
+    e1b_channel = TrackingChannel(
+        profile,
+        provider,
+        fs,
+        TrackingConfig(
+            integration_ms=float(tracking_cfg["e1b_integration_ms"]),
+            pull_in_duration_ms=float(tracking_cfg["e1b_pull_in_ms"]),
+            pll_noise_bandwidth_hz=float(tracking_cfg["pll_noise_bandwidth_hz"]),
+            fll_noise_bandwidth_hz=float(tracking_cfg["fll_noise_bandwidth_hz"]),
+            dll_noise_bandwidth_hz=float(tracking_cfg["dll_noise_bandwidth_hz"]),
+            secondary_code_mode="none",
+            loss_of_lock_epochs=40,
+        ),
+        e1b_result,
+        boundary_start,
+    )
+    e1b_measurements = e1b_channel.process(samples[boundary_start:])
+    e1b_summary = _tracking_summary(e1b_measurements, if_hz, expected_doppler_hz)
+    export_tracking_csv(out / "tracking_e1b.csv", e1b_measurements)
+    _save_figure(tracking_diagnostics(e1b_measurements), out / "tracking_e1b.png")
+    _save_figure(prompt_constellation(e1b_measurements, ignored_epochs=150), out / "prompt_constellation_e1b.png")
+
+    ignored_epochs = int(round(0.300 / (float(tracking_cfg["e1b_integration_ms"]) * 1e-3)))
+    prompt_e1b = np.asarray([complex(item.prompt_i, item.prompt_q) for item in e1b_measurements])
+    symbols, soft_symbols = recover_bpsk_symbols(prompt_e1b, 2, ignored_epochs=ignored_epochs)
+    sync_bits = np.asarray([0, 1, 0, 1, 1, 0, 0, 0, 0, 0], dtype=np.int8)
+    sync_signs = (2 * sync_bits - 1).astype(np.int8)
+    sync_matches: list[dict[str, Any]] = []
+    for inversion in (1, -1):
+        for index in range(max(0, symbols.size - sync_signs.size + 1)):
+            errors = int(np.count_nonzero(inversion * symbols[index : index + 10] != sync_signs))
+            if errors == 0:
+                sync_matches.append({"symbol_index": index, "sign_inverted": inversion == -1, "errors": errors})
+    symbol_report = {
+        "status": "raw_symbols_recovered_page_decoding_not_implemented",
+        "comparison_scope": "known_10_symbol_INAV_sync_words_only",
+        "recovered_symbols": int(symbols.size),
+        "compared_symbols": len(sync_matches) * 10,
+        "initial_ignored_tracking_epochs": ignored_epochs,
+        "initial_ignored_time_s": ignored_epochs * float(tracking_cfg["e1b_integration_ms"]) * 1e-3,
+        "bounded_alignment": "code boundary from PCPS; sync search within remaining 1.876 s",
+        "sync_matches": sync_matches,
+        "symbol_errors": 0 if sync_matches else None,
+        "symbol_error_rate": 0.0 if sync_matches else None,
+        "median_soft_symbol_magnitude": float(np.median(np.abs(soft_symbols))),
+        "frame_or_page_sync": len(sync_matches) >= 2,
+        "fec_decoding": "not_implemented",
+        "crc_validation": "not_implemented",
+    }
+
+    e1c_result = manager.acquire_one(samples[:acquisition_samples], "E1C", prn, if_hz)[0]
+    e1c_boundary = int(round(e1c_result.code_phase_samples + math.ceil((acquisition_samples - e1c_result.code_phase_samples) / primary_samples) * primary_samples))
+    open_epoch_count = min(100, (samples.size - e1c_boundary) // primary_samples)
+    carrier = CarrierNco(fs, e1c_result.carrier_frequency_hz, 2 * np.pi * e1c_result.carrier_frequency_hz * e1c_boundary / fs % (2 * np.pi))
+    code = CodeNco(
+        fs,
+        profile.component("E1C").primary_code_length_chips,
+        profile.code_rate_hz * (1 + e1c_result.doppler_hz / profile.carrier_frequency_hz),
+        (-e1c_result.code_phase_chips + e1c_boundary * profile.code_rate_hz / fs) % 4092,
+    )
+    bank = CorrelatorBank(profile, provider, "E1C", prn, carrier, code, 0.25, 0.75)
+    open_prompts = np.asarray([
+        bank.correlate(samples[e1c_boundary + epoch * primary_samples : e1c_boundary + (epoch + 1) * primary_samples]).prompt
+        for epoch in range(open_epoch_count)
+    ], dtype=np.complex128)
+    secondary = provider.secondary_code(profile, "E1C", prn)
+    assert secondary is not None
+    sync = synchronize_secondary_code(open_prompts, secondary, 0.004, residual_frequency_step_hz=0.5)
+    epochs = np.arange(min(25, open_prompts.size), dtype=np.float64)
+    corrected = open_prompts[: epochs.size] * np.exp(-2j * np.pi * sync.residual_frequency_hz * 0.004 * epochs)
+    wipe = secondary[(sync.phase + np.arange(epochs.size)) % secondary.size]
+    wiped_gain_db = float(10 * np.log10(abs(np.sum(corrected * wipe)) ** 2 / (epochs.size * np.mean(np.abs(corrected) ** 2))))
+    unwiped_gain_db = float(10 * np.log10(max(abs(np.sum(corrected)) ** 2, np.finfo(np.float64).tiny) / (epochs.size * np.mean(np.abs(corrected) ** 2))))
+    adjusted = replace(
+        e1c_result,
+        doppler_hz=e1c_result.doppler_hz + sync.residual_frequency_hz,
+        carrier_frequency_hz=e1c_result.carrier_frequency_hz + sync.residual_frequency_hz,
+    )
+    e1c_channel = TrackingChannel(
+        profile,
+        provider,
+        fs,
+        TrackingConfig(
+            integration_ms=float(tracking_cfg["e1c_integration_ms"]),
+            pull_in_duration_ms=float(tracking_cfg["e1c_pull_in_ms"]),
+            pll_noise_bandwidth_hz=float(tracking_cfg["pll_noise_bandwidth_hz"]),
+            fll_noise_bandwidth_hz=float(tracking_cfg["fll_noise_bandwidth_hz"]),
+            dll_noise_bandwidth_hz=float(tracking_cfg["dll_noise_bandwidth_hz"]),
+            secondary_code_mode="wipeoff",
+            loss_of_lock_epochs=20,
+        ),
+        adjusted,
+        e1c_boundary,
+        secondary_code_phase_at_start=sync.phase,
+    )
+    e1c_measurements = e1c_channel.process(samples[e1c_boundary:])
+    e1c_summary = _tracking_summary(e1c_measurements, if_hz, expected_doppler_hz)
+    export_tracking_csv(out / "tracking_e1c.csv", e1c_measurements)
+    _save_figure(tracking_diagnostics(e1c_measurements), out / "tracking_e1c.png")
+    _save_figure(prompt_constellation(e1c_measurements, ignored_epochs=75), out / "prompt_constellation_e1c.png")
+    secondary_report = asdict(sync) | {
+        "sequence_source": str(provider.pilot_bit_path),
+        "sequence_classification": "SignalSim_implemented_sequence_not_independently_certified_against_ICD",
+        "wiped_25_period_coherent_gain_db": wiped_gain_db,
+        "unwiped_25_period_coherent_gain_db": unwiped_gain_db,
+        "wipeoff_gain_improvement_db": wiped_gain_db - unwiped_gain_db,
+    }
+
+    # Bit-true boundary comparison on the same external IQ8 coherent block.
+    # The floating reference remains float64/complex128; only the explicit
+    # input/FFT/power boundaries are quantized.
+    fixed_samples = samples[:primary_samples] / np.float64(128.0)
+    fixed_bins_hz = np.arange(1500.0, 2125.0 + 0.5 * 125.0, 125.0, dtype=np.float64)
+    fixed_replica = e1_local_replica(
+        profile,
+        provider,
+        "E1C",
+        prn,
+        primary_samples,
+        fs,
+        code_rate_hz=profile.code_rate_hz * (1.0 + 1750.0 / profile.carrier_frequency_hz),
+    )
+    fixed_grid = FixedPcpsAcquisition(
+        FixedFormat(10, 8),
+        FixedFormat(32, 20),
+        FixedFormat(64, 32, signed=False),
+    ).search(fixed_samples, fixed_replica, fs, if_hz + fixed_bins_hz)
+    time_axis_s = np.arange(primary_samples, dtype=np.float64) / fs
+    reference_power = np.asarray([
+        np.abs(
+            np.fft.ifft(
+                np.fft.fft(fixed_samples * np.exp(-2j * np.pi * (if_hz + doppler_hz) * time_axis_s))
+                * np.conjugate(np.fft.fft(fixed_replica))
+            )
+        ) ** 2
+        for doppler_hz in fixed_bins_hz
+    ], dtype=np.float64)
+    reference_peak = np.unravel_index(int(np.argmax(reference_power)), reference_power.shape)
+    reference_normalized = reference_power / np.max(reference_power)
+    fixed_normalized = fixed_grid.power / np.max(fixed_grid.power)
+    fixed_error = fixed_normalized - reference_normalized
+    fixed_report = {
+        "reference_dtype": "complex128/float64",
+        "input_format": {"total_bits": 10, "fractional_bits": 8},
+        "fft_boundary_format": {"total_bits": 32, "fractional_bits": 20},
+        "power_format": {"total_bits": 64, "fractional_bits": 32, "signed": False},
+        "reference_doppler_bin_hz": float(fixed_bins_hz[reference_peak[0]]),
+        "fixed_doppler_bin_hz": float(fixed_bins_hz[fixed_grid.peak_doppler_index]),
+        "reference_code_phase_samples": int(reference_peak[1]),
+        "fixed_code_phase_samples": fixed_grid.peak_code_index,
+        "doppler_bin_agreement": bool(fixed_grid.peak_doppler_index == reference_peak[0]),
+        "code_phase_agreement": bool(fixed_grid.peak_code_index == reference_peak[1]),
+        "acquisition_decision_agreement": bool((np.max(reference_power) / np.mean(reference_power) >= 2.5) == (np.max(fixed_grid.power) / np.mean(fixed_grid.power) >= 2.5)),
+        "normalized_absolute_error_mean": float(np.mean(np.abs(fixed_error))),
+        "normalized_rms_error": float(np.sqrt(np.mean(fixed_error * fixed_error))),
+        "normalized_peak_error": float(np.max(np.abs(fixed_error))),
+        "overflow_count": fixed_grid.overflow_count,
+    }
+
+    carrier_fcw = int(round((if_hz + expected_doppler_hz) / fs * 2**32)) & 0xFFFFFFFF
+    code_fcw = int(round(profile.code_rate_hz * (1 + expected_doppler_hz / profile.carrier_frequency_hz) / fs * 2**48))
+    rtl_registers = {
+        "SAMPLE_WIDTH": 8,
+        "SAMPLE_FRACTIONAL_BITS": 0,
+        "INPUT_REPRESENTATION": "COMPLEX_IQ",
+        "IQ_ORDER": "IQ",
+        "SAMPLING_FREQUENCY_HZ": fs,
+        "INTERMEDIATE_FREQUENCY_HZ": if_hz,
+        "PRN": prn,
+        "COMPONENT": "E1C",
+        "ACQ_DOPPLER_MIN_HZ": acq_cfg.doppler_min_hz,
+        "ACQ_DOPPLER_MAX_HZ": acq_cfg.doppler_max_hz,
+        "ACQ_DOPPLER_STEP_HZ": acq_cfg.doppler_step_hz,
+        "ACQ_COHERENT_SAMPLES": manager.engine.coherent_samples,
+        "ACQ_NONCOHERENT_COUNT": acq_cfg.noncoherent_accumulations,
+        "ACQ_FFT_LENGTH": manager.engine.coherent_samples,
+        "TRACK_E1B_INTEGRATION_SAMPLES": int(round(fs * float(tracking_cfg["e1b_integration_ms"]) * 1e-3)),
+        "TRACK_E1C_INTEGRATION_SAMPLES": primary_samples,
+        "CARRIER_NCO_PHASE_WIDTH": 32,
+        "CARRIER_NCO_FCW": carrier_fcw,
+        "CODE_NCO_PHASE_WIDTH": 48,
+        "CODE_NCO_FCW": code_fcw,
+        "E1C_SECONDARY_PHASE": sync.phase,
+        "ACQ_TO_TRACK_CODE_PHASE_SAMPLES": acquisition["E1C"]["code_phase_samples"],
+        "ACQ_TO_TRACK_DOPPLER_HZ": expected_doppler_hz,
+        "NOTE": "Symbolic names; APB addresses remain to be assigned by the RTL IP register map",
+    }
+    rtl_manifest = export_timed_complex_hex(
+        out / "rtl_vectors",
+        "signalsim_acquisition_input_iq8",
+        samples[:acquisition_samples],
+        FixedFormat(8, 0),
+        fs,
+        rtl_registers,
+    )
+
+    criteria = cfg["pass_criteria"]
+    acquisition_pass = all(
+        acquisition[component]["detected"]
+        and acquisition[component]["prn"] == prn
+        and abs(acquisition[component]["raw_doppler_error_hz"]) <= criteria["maximum_raw_doppler_error_hz"]
+        for component in ("E1B", "E1C")
+    )
+    def tracking_pass(summary: dict[str, Any]) -> bool:
+        return (
+            summary["final_state"] == "PLL_TRACK"
+            and summary["reacquisition_epoch_count"] == 0
+            and abs(summary["doppler_error_hz"]) <= criteria["maximum_tracking_doppler_error_hz"]
+            and summary["doppler_jitter_hz_rms"] <= criteria["maximum_tracking_doppler_jitter_hz"]
+            and summary["dll_error_chips_rms"] <= criteria["maximum_dll_rms_chips"]
+        )
+    full_vector_report: dict[str, Any] = {}
+    full_vector_pass = True
+    if selected_mode == "full":
+        definitions = {
+            "nominal_cn0_single_prn": {1: 1828.0},
+            "negative_doppler": {27: -2637.0},
+            "multiple_prns": {1: 1828.0, 4: 2171.0, 19: -367.0, 21: -712.0, 27: -2637.0},
+        }
+        generator = project_root / "tools" / "generate_signalsim_vectors.py"
+        for vector_name, expected_by_prn in definitions.items():
+            metadata_path = project_root / "verification" / "vectors" / "signalsim" / vector_name / "metadata.yaml"
+            if not metadata_path.is_file():
+                subprocess.run([str(generator), "--signalsim-path", str(source), "--project-root", str(project_root), "--vector", vector_name], check=True)
+            metadata = yaml.safe_load(metadata_path.read_text(encoding="utf-8"))
+            path = project_root / metadata["output"]
+            vector_samples = SignalSimReader(path, SignalSimSampleSpec("IQ8"), memory_map=True).read(acquisition_samples)
+            broad_cfg = AcquisitionConfig(
+                doppler_min_hz=-4000.0,
+                doppler_max_hz=3000.0,
+                doppler_step_hz=250.0,
+                coherent_integration_ms=4.0,
+                noncoherent_accumulations=5,
+                detection_threshold=2.5,
+                zero_padding_mode="none",
+                parallelism="doppler_vectorized",
+            )
+            broad_manager = AcquisitionManager(profile, provider, fs, broad_cfg)
+            vector_results: dict[int, Any] = {}
+            for vector_prn, vector_truth_hz in expected_by_prn.items():
+                vector_result, _ = broad_manager.acquire_one(vector_samples, "E1C", vector_prn, if_hz)
+                item = asdict(vector_result) | {
+                    "expected_doppler_hz": vector_truth_hz,
+                    "raw_doppler_error_hz": vector_result.raw_doppler_hz - vector_truth_hz,
+                }
+                item["pass"] = bool(vector_result.detected and abs(item["raw_doppler_error_hz"]) <= 250.0)
+                full_vector_pass &= item["pass"]
+                vector_results[vector_prn] = item
+            full_vector_report[vector_name] = {
+                "sha256": _hash_file(path),
+                "size_bytes": path.stat().st_size,
+                "acquisition": vector_results,
+            }
+
+        # Negative-Doppler tracking is checked over the long vector. Transient
+        # lock-detector assertions during pull-in are reported, while the pass
+        # condition applies after convergence.
+        negative_path = project_root / yaml.safe_load(
+            (project_root / "verification" / "vectors" / "signalsim" / "negative_doppler" / "metadata.yaml").read_text(encoding="utf-8")
+        )["output"]
+        negative_samples = SignalSimReader(negative_path, SignalSimSampleSpec("IQ8"), memory_map=True).read()
+        negative_acq_manager = AcquisitionManager(
+            profile,
+            provider,
+            fs,
+            AcquisitionConfig(doppler_min_hz=-4000.0, doppler_max_hz=-1500.0, doppler_step_hz=250.0, noncoherent_accumulations=5, zero_padding_mode="none"),
+        )
+        negative_acq, _ = negative_acq_manager.acquire_one(negative_samples[:acquisition_samples], "E1B", 27, if_hz)
+        negative_start = int(round(negative_acq.code_phase_samples + math.ceil((acquisition_samples - negative_acq.code_phase_samples) / primary_samples) * primary_samples))
+        negative_channel = TrackingChannel(
+            profile,
+            provider,
+            fs,
+            TrackingConfig(integration_ms=2.0, pull_in_duration_ms=300.0, pll_noise_bandwidth_hz=10.0, fll_noise_bandwidth_hz=20.0, dll_noise_bandwidth_hz=1.0, secondary_code_mode="none", loss_of_lock_epochs=40),
+            negative_acq,
+            negative_start,
+        )
+        negative_measurements = negative_channel.process(negative_samples[negative_start:])
+        negative_summary = _tracking_summary(negative_measurements, if_hz, -2637.0)
+        post_pull_in = negative_measurements[500:]
+        negative_summary["post_pull_in_reacquisition_epoch_count"] = sum(item.reacquisition_requested for item in post_pull_in)
+        negative_tracking_pass = bool(
+            negative_summary["final_state"] == "PLL_TRACK"
+            and negative_summary["post_pull_in_reacquisition_epoch_count"] == 0
+            and abs(negative_summary["doppler_error_hz"]) <= criteria["maximum_tracking_doppler_error_hz"]
+            and negative_summary["doppler_jitter_hz_rms"] <= criteria["maximum_tracking_doppler_jitter_hz"]
+            and negative_summary["dll_error_chips_rms"] <= criteria["maximum_dll_rms_chips"]
+        )
+        negative_summary["pass"] = negative_tracking_pass
+        full_vector_report["negative_doppler"]["tracking_e1b"] = negative_summary
+        full_vector_pass &= negative_tracking_pass
+
+        # Nominal-C/N0 uses the pilot because secondary wipeoff removes the
+        # 100 ms overlay transition from the carrier loop.
+        nominal_path = project_root / yaml.safe_load(
+            (project_root / "verification" / "vectors" / "signalsim" / "nominal_cn0_single_prn" / "metadata.yaml").read_text(encoding="utf-8")
+        )["output"]
+        nominal_samples = SignalSimReader(nominal_path, SignalSimSampleSpec("IQ8"), memory_map=True).read()
+        nominal_acq_manager = AcquisitionManager(
+            profile,
+            provider,
+            fs,
+            AcquisitionConfig(doppler_min_hz=1000.0, doppler_max_hz=2500.0, doppler_step_hz=250.0, noncoherent_accumulations=5, zero_padding_mode="none"),
+        )
+        nominal_acq, _ = nominal_acq_manager.acquire_one(nominal_samples[:acquisition_samples], "E1C", 1, if_hz)
+        nominal_start = int(round(nominal_acq.code_phase_samples + math.ceil((acquisition_samples - nominal_acq.code_phase_samples) / primary_samples) * primary_samples))
+        nominal_open_count = min(100, (nominal_samples.size - nominal_start) // primary_samples)
+        nominal_carrier = CarrierNco(fs, nominal_acq.carrier_frequency_hz, 2 * np.pi * nominal_acq.carrier_frequency_hz * nominal_start / fs % (2 * np.pi))
+        nominal_code = CodeNco(
+            fs,
+            4092,
+            profile.code_rate_hz * (1 + nominal_acq.doppler_hz / profile.carrier_frequency_hz),
+            (-nominal_acq.code_phase_chips + nominal_start * profile.code_rate_hz / fs) % 4092,
+        )
+        nominal_bank = CorrelatorBank(profile, provider, "E1C", 1, nominal_carrier, nominal_code, 0.25, 0.75)
+        nominal_prompts = np.asarray([
+            nominal_bank.correlate(nominal_samples[nominal_start + epoch * primary_samples : nominal_start + (epoch + 1) * primary_samples]).prompt
+            for epoch in range(nominal_open_count)
+        ], dtype=np.complex128)
+        nominal_sync = synchronize_secondary_code(nominal_prompts, secondary, 0.004, residual_frequency_step_hz=0.5)
+        nominal_adjusted = replace(
+            nominal_acq,
+            doppler_hz=nominal_acq.doppler_hz + nominal_sync.residual_frequency_hz,
+            carrier_frequency_hz=nominal_acq.carrier_frequency_hz + nominal_sync.residual_frequency_hz,
+        )
+        nominal_channel = TrackingChannel(
+            profile,
+            provider,
+            fs,
+            TrackingConfig(integration_ms=4.0, pull_in_duration_ms=200.0, pll_noise_bandwidth_hz=10.0, fll_noise_bandwidth_hz=10.0, dll_noise_bandwidth_hz=1.0, secondary_code_mode="wipeoff", loss_of_lock_epochs=20),
+            nominal_adjusted,
+            nominal_start,
+            secondary_code_phase_at_start=nominal_sync.phase,
+        )
+        nominal_measurements = nominal_channel.process(nominal_samples[nominal_start:])
+        nominal_summary = _tracking_summary(nominal_measurements, if_hz, 1828.0)
+        nominal_summary["secondary_sync"] = asdict(nominal_sync)
+        nominal_summary["post_pull_in_reacquisition_epoch_count"] = sum(item.reacquisition_requested for item in nominal_measurements[75:])
+        nominal_tracking_pass = bool(
+            nominal_summary["final_state"] == "PLL_TRACK"
+            and nominal_summary["post_pull_in_reacquisition_epoch_count"] == 0
+            and abs(nominal_summary["doppler_error_hz"]) <= criteria["maximum_tracking_doppler_error_hz"]
+            and nominal_summary["doppler_jitter_hz_rms"] <= criteria["maximum_tracking_doppler_jitter_hz"]
+            and nominal_summary["dll_error_chips_rms"] <= criteria["maximum_dll_rms_chips"]
+            and nominal_sync.normalized_correlation >= criteria["minimum_secondary_correlation"]
+            and nominal_sync.sign_errors == 0
+        )
+        nominal_summary["pass"] = nominal_tracking_pass
+        full_vector_report["nominal_cn0_single_prn"]["tracking_e1c"] = nominal_summary
+        full_vector_pass &= nominal_tracking_pass
+
+    passes = {
+        "acquisition": acquisition_pass,
+        "e1b_tracking": tracking_pass(e1b_summary),
+        "e1b_raw_symbol_sync": len(sync_matches) >= int(criteria["minimum_inav_sync_words"]),
+        "e1c_secondary_sync": sync.normalized_correlation >= criteria["minimum_secondary_correlation"] and sync.sign_errors <= criteria["maximum_secondary_sign_errors"],
+        "e1c_tracking": tracking_pass(e1c_summary),
+        "fixed_point_acquisition": bool(
+            fixed_report["doppler_bin_agreement"]
+            and fixed_report["code_phase_agreement"]
+            and fixed_report["acquisition_decision_agreement"]
+            and fixed_report["overflow_count"] == 0
+        ),
+    }
+    if selected_mode == "full":
+        passes["full_vector_set"] = full_vector_pass
+    report = {
+        "simulator": {
+            "name": "SignalSim",
+            "path": str(source),
+            "remote": _git(source, "remote", "get-url", "origin"),
+            "commit": _git(source, "rev-parse", "HEAD"),
+            "git_status": _git(source, "status", "--short", "--branch"),
+        },
+        "vector": {
+            **vector_cfg,
+            "path": str(samples_path),
+            "size_bytes": samples_path.stat().st_size,
+            "complex_sample_count": reader.sample_count,
+            "sha256": _hash_file(samples_path),
+            "internal_dtype": "complex128",
+        },
+        "mode": selected_mode,
+        "acquisition": acquisition,
+        "tracking": {"E1B": e1b_summary, "E1C": e1c_summary},
+        "e1b_symbols": symbol_report,
+        "e1c_secondary": secondary_report,
+        "fixed_point_acquisition": fixed_report,
+        "rtl_vector_manifest": rtl_manifest,
+        "full_vectors": full_vector_report,
+        "pass_criteria": criteria,
+        "passes": passes,
+        "overall_pass": all(passes.values()),
+        "known_failures": [
+            "SignalSim E1 output cannot select E1B-only or E1C-only",
+            "SignalSim E1 uses BOC(1,1), not full CBOC",
+            "SignalSim has no native real-IF output",
+            "SignalSim IQ2 writer omits the output-byte assignment at this commit",
+            "Full I/NAV receiver-side FEC/page/CRC decoding is not implemented",
+            "SignalSim does not emit exact sample-side code-delay or navigation-symbol truth",
+        ],
+    }
+    (out / "signalsim_validation_report.json").write_text(json.dumps(report, indent=2, default=str) + "\n", encoding="utf-8")
+    (out / "signalsim_e1b_symbol_comparison.json").write_text(json.dumps(symbol_report, indent=2) + "\n", encoding="utf-8")
+    reports_root = project_root / "reports"
+    reports_root.mkdir(parents=True, exist_ok=True)
+    acquisition_report = {
+        "simulator": report["simulator"],
+        "vector": report["vector"],
+        "acquisition": acquisition,
+        "pass": acquisition_pass,
+        "truth_limitations": "SignalSim CLI logs rounded Doppler but does not export exact code delay",
+    }
+    (reports_root / "signalsim_acquisition_report.json").write_text(json.dumps(acquisition_report, indent=2, default=str) + "\n", encoding="utf-8")
+    (reports_root / "signalsim_e1b_symbol_comparison.json").write_text(json.dumps(symbol_report, indent=2) + "\n", encoding="utf-8")
+    markdown = [
+        "# SignalSim acquisition and tracking validation",
+        "",
+        f"Overall {selected_mode}-mode result: **{'PASS' if report['overall_pass'] else 'FAIL'}**",
+        "",
+        "| Check | Result |",
+        "|---|---:|",
+        *[f"| {name} | {'PASS' if value else 'FAIL'} |" for name, value in passes.items()],
+        "",
+        f"E1B tracking Doppler: {e1b_summary['estimated_doppler_hz']:.3f} Hz (error {e1b_summary['doppler_error_hz']:+.3f} Hz).",
+        f"E1C tracking Doppler: {e1c_summary['estimated_doppler_hz']:.3f} Hz (error {e1c_summary['doppler_error_hz']:+.3f} Hz).",
+        f"E1C secondary phase: {sync.phase}; normalized correlation {sync.normalized_correlation:.4f}; sign errors {sync.sign_errors}/{sync.compared_periods}.",
+        f"E1B exact I/NAV sync words: {len(sync_matches)}. Full page decoding is not implemented.",
+    ]
+    (out / "signalsim_validation_report.md").write_text("\n".join(markdown) + "\n", encoding="utf-8")
+    acquisition_markdown = [
+        "# SignalSim acquisition report",
+        "",
+        "| Component | Detected | Raw Doppler (Hz) | Truth (Hz) | Code phase (samples) | Peak/second |",
+        "|---|---:|---:|---:|---:|---:|",
+        *[
+            f"| {component} | {item['detected']} | {item['raw_doppler_hz']:.1f} | {expected_doppler_hz:.1f} | {item['code_phase_samples']:.3f} | {item['detection_metric']:.3f} |"
+            for component, item in acquisition.items()
+        ],
+        "",
+        "SignalSim does not export exact code-delay truth. Agreement between independently acquired E1B and E1C code phases is used as a cross-component consistency check; no code-phase error is fabricated.",
+    ]
+    (reports_root / "signalsim_acquisition_report.md").write_text("\n".join(acquisition_markdown) + "\n", encoding="utf-8")
+    return report, bool(report["overall_pass"])
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 0000000..0d2ecaf
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,18 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+
+@pytest.fixture(scope="session")
+def signalsim_validation_result(tmp_path_factory: pytest.TempPathFactory):
+    source_candidates = [Path("signalsim/SignalSim"), Path("../SignalSim"), Path("../signalsim/SignalSim")]
+    source = next((path.resolve() for path in source_candidates if (path / "IFdataGen" / "CMakeLists.txt").is_file()), None)
+    if source is None:
+        pytest.skip("local SignalSim checkout with IFdataGen/CMakeLists.txt is genuinely unavailable")
+    from galileo_rx.verification.signalsim_validation import validate_signalsim
+
+    output = tmp_path_factory.mktemp("signalsim_validation")
+    report, passed = validate_signalsim(source, "configs/signalsim_validation.yaml", output, mode="full")
+    return report, passed, output
diff --git a/tests/integration/test_acquisition.py b/tests/integration/test_acquisition.py
new file mode 100644
index 0000000..562e953
--- /dev/null
+++ b/tests/integration/test_acquisition.py
@@ -0,0 +1,86 @@
+import numpy as np
+import pytest
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import AcquisitionConfig, FrontendConfig, RfConfig
+from galileo_rx.frontend.frontend_chain import FrontendChain
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+
+
+def make_signal(fs: float, delay_chips: float, doppler_hz: float, periods: int = 2, real_if: bool = False):
+    profile = galileo_e1_profile()
+    provider = SyntheticCodeProvider()
+    if_hz = 2.0e6 if real_if else 0.0
+    generator = SyntheticSignalGenerator(
+        profile,
+        provider,
+        fs,
+        if_hz,
+        real_if,
+        [SatelliteSignalConfig(prn=5, component="E1C", code_delay_chips=delay_chips, doppler_hz=doppler_hz, cn0_db_hz=48.0)],
+        ChannelModelConfig(seed=22),
+    )
+    samples, _ = generator.generate(int(round(periods * 0.004 * fs)))
+    if real_if:
+        rf = RfConfig(sample_format="float64", input_is_real_if=True, sampling_frequency_hz=fs, intermediate_frequency_hz=if_hz)
+        samples = FrontendChain(rf, FrontendConfig()).process(samples)
+    return samples, profile, provider
+
+
+@pytest.mark.parametrize("doppler_hz", [-1250.0, 1750.0])
+def test_pcps_detects_doppler_and_code(doppler_hz: float) -> None:
+    fs = 4.092e6
+    delay_chips = 37.0
+    samples, profile, provider = make_signal(fs, delay_chips, doppler_hz)
+    config = AcquisitionConfig(
+        doppler_min_hz=-2500,
+        doppler_max_hz=2500,
+        doppler_step_hz=250,
+        coherent_integration_ms=4,
+        noncoherent_accumulations=2,
+        detection_threshold=2.0,
+        zero_padding_mode="none",
+        parabolic_interpolation=False,
+    )
+    result, _ = AcquisitionManager(profile, provider, fs, config).acquire_one(samples, "E1C", 5)
+    assert result.detected
+    assert result.raw_doppler_hz == doppler_hz
+    assert abs(result.code_phase_chips - delay_chips) <= 0.26
+
+
+def test_pcps_noninteger_samples_per_chip_and_boundary() -> None:
+    fs = 4.5e6
+    delay_chips = 4091.2
+    samples, profile, provider = make_signal(fs, delay_chips, 500.0)
+    config = AcquisitionConfig(
+        doppler_min_hz=0,
+        doppler_max_hz=1000,
+        doppler_step_hz=250,
+        coherent_integration_ms=4,
+        noncoherent_accumulations=2,
+        detection_threshold=1.8,
+        zero_padding_mode="none",
+        parabolic_interpolation=False,
+    )
+    result, _ = AcquisitionManager(profile, provider, fs, config).acquire_one(samples, "E1C", 5)
+    circular_error = min(abs(result.code_phase_chips - delay_chips), 4092 - abs(result.code_phase_chips - delay_chips))
+    assert result.detected and circular_error < 0.6
+
+
+def test_real_if_acquisition() -> None:
+    fs = 8.0e6
+    samples, profile, provider = make_signal(fs, 21.0, 750.0, real_if=True)
+    config = AcquisitionConfig(
+        doppler_min_hz=250,
+        doppler_max_hz=1250,
+        doppler_step_hz=250,
+        coherent_integration_ms=4,
+        noncoherent_accumulations=2,
+        detection_threshold=1.7,
+        zero_padding_mode="none",
+        parabolic_interpolation=False,
+    )
+    result, _ = AcquisitionManager(profile, provider, fs, config).acquire_one(samples, "E1C", 5)
+    assert result.detected and result.raw_doppler_hz == 750.0
diff --git a/tests/integration/test_detection_and_lock_loss.py b/tests/integration/test_detection_and_lock_loss.py
new file mode 100644
index 0000000..d0ddf89
--- /dev/null
+++ b/tests/integration/test_detection_and_lock_loss.py
@@ -0,0 +1,33 @@
+import numpy as np
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import AcquisitionConfig, TrackingConfig
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.tracking.tracking_channel import TrackingChannel
+from galileo_rx.types import AcquisitionResult, TrackingState
+
+
+def test_noise_only_does_not_pass_peak_ratio_threshold() -> None:
+    fs = 4.092e6
+    rng = np.random.default_rng(345)
+    samples = rng.standard_normal(int(0.008 * fs)) + 1j * rng.standard_normal(int(0.008 * fs))
+    config = AcquisitionConfig(
+        doppler_min_hz=-500, doppler_max_hz=500, doppler_step_hz=250,
+        noncoherent_accumulations=2, detection_threshold=2.5, zero_padding_mode="none",
+    )
+    result, _ = AcquisitionManager(galileo_e1_profile(), SyntheticCodeProvider(), fs, config).acquire_one(samples, "E1C", 1)
+    assert not result.detected
+
+
+def test_consecutive_failures_request_reacquisition() -> None:
+    fs = 4.092e6
+    acquisition = AcquisitionResult(
+        True, 1, "E1B", 0.0, 0.0, 0.0, 0.0, 1.0, 0.1, 10.0, None, 4.0, 1
+    )
+    config = TrackingConfig(use_fll_assist=False, loss_of_lock_epochs=3)
+    channel = TrackingChannel(galileo_e1_profile(), SyntheticCodeProvider(), fs, config, acquisition)
+    zero_epoch = np.zeros(channel.integration_samples, dtype=np.complex128)
+    measurements = [channel.process_epoch(zero_epoch) for _ in range(3)]
+    assert measurements[-1].reacquisition_requested
+    assert measurements[-1].state == TrackingState.REACQUISITION
diff --git a/tests/integration/test_fixed_acquisition.py b/tests/integration/test_fixed_acquisition.py
new file mode 100644
index 0000000..e9f7649
--- /dev/null
+++ b/tests/integration/test_fixed_acquisition.py
@@ -0,0 +1,33 @@
+import numpy as np
+
+from galileo_rx.fixed_point.bittrue_pipeline import compare_acquisition, sweep_acquisition_word_lengths
+from galileo_rx.fixed_point.fixed_acquisition import FixedPcpsAcquisition
+
+
+def test_fixed_acquisition_peak_agrees_with_float() -> None:
+    rng = np.random.default_rng(4)
+    count = 256
+    fs = 1.024e6
+    replica = np.where(rng.integers(0, 2, count), 1.0, -1.0)
+    delay = 73
+    doppler = 4000.0
+    time_s = np.arange(count) / fs
+    samples = np.roll(replica, delay) * np.exp(2j * np.pi * doppler * time_s)
+    bins = np.asarray([-4000.0, 0.0, 4000.0])
+    reference = np.asarray([
+        np.abs(np.fft.ifft(np.fft.fft(samples * np.exp(-2j * np.pi * frequency * time_s)) * np.conjugate(np.fft.fft(replica)))) ** 2
+        for frequency in bins
+    ])
+    fixed = FixedPcpsAcquisition().search(samples, replica, fs, bins)
+    comparison = compare_acquisition(reference / count**2, fixed, threshold=2.5)
+    assert comparison.doppler_bin_agreement
+    assert comparison.code_phase_agreement
+    assert comparison.acquisition_decision_agreement
+
+
+def test_word_length_sweep_reports_each_width() -> None:
+    rng = np.random.default_rng(7)
+    replica = np.where(rng.integers(0, 2, 64), 1.0, -1.0)
+    reports = sweep_acquisition_word_lengths(np.roll(replica, 9).astype(complex), replica, 1e6, np.asarray([0.0]), [6, 8])
+    assert [item["input_bits"] for item in reports] == [6, 8]
+    assert all(item["code_phase_agreement"] for item in reports)
diff --git a/tests/integration/test_long_integration.py b/tests/integration/test_long_integration.py
new file mode 100644
index 0000000..cbd8c39
--- /dev/null
+++ b/tests/integration/test_long_integration.py
@@ -0,0 +1,57 @@
+import numpy as np
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import AcquisitionConfig
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+
+
+def test_e1c_secondary_wipeoff_for_eight_ms() -> None:
+    fs = 4.092e6
+    profile = galileo_e1_profile()
+    provider = SyntheticCodeProvider()
+    generator = SyntheticSignalGenerator(
+        profile, provider, fs,
+        satellites=[SatelliteSignalConfig(8, "E1C", code_delay_chips=12.0, doppler_hz=500.0)],
+        channel=ChannelModelConfig(add_awgn=False),
+    )
+    samples, _ = generator.generate(int(0.008 * fs))
+    config = AcquisitionConfig(
+        doppler_min_hz=500,
+        doppler_max_hz=500,
+        doppler_step_hz=250,
+        coherent_integration_ms=8,
+        noncoherent_accumulations=1,
+        detection_threshold=1.5,
+        zero_padding_mode="none",
+        secondary_code_mode="wipeoff",
+        parabolic_interpolation=False,
+    )
+    result, _ = AcquisitionManager(profile, provider, fs, config).acquire_one(samples, "E1C", 8)
+    assert result.detected and abs(result.code_phase_chips - 12.0) < 0.3
+
+
+def test_e1b_bit_transition_hypothesis() -> None:
+    fs = 4.092e6
+    profile = galileo_e1_profile()
+    provider = SyntheticCodeProvider()
+    generator = SyntheticSignalGenerator(
+        profile, provider, fs,
+        satellites=[SatelliteSignalConfig(9, "E1B", code_delay_chips=20.0, navigation_bits=[1, -1])],
+        channel=ChannelModelConfig(add_awgn=False),
+    )
+    samples, _ = generator.generate(int(0.008 * fs))
+    config = AcquisitionConfig(
+        doppler_min_hz=0,
+        doppler_max_hz=0,
+        doppler_step_hz=250,
+        coherent_integration_ms=8,
+        noncoherent_accumulations=1,
+        detection_threshold=1.5,
+        zero_padding_mode="none",
+        bit_transition_mode="hypothesis",
+        parabolic_interpolation=False,
+    )
+    result, _ = AcquisitionManager(profile, provider, fs, config).acquire_one(samples, "E1B", 9)
+    assert result.detected and abs(result.code_phase_chips - 20.0) < 0.3
diff --git a/tests/integration/test_signalsim_acquisition.py b/tests/integration/test_signalsim_acquisition.py
new file mode 100644
index 0000000..d6a727d
--- /dev/null
+++ b/tests/integration/test_signalsim_acquisition.py
@@ -0,0 +1,25 @@
+import pytest
+
+
+@pytest.mark.signalsim
+def test_signalsim_pcps_detects_e1b_and_e1c(signalsim_validation_result) -> None:
+    report, _, output = signalsim_validation_result
+    for component in ("E1B", "E1C"):
+        result = report["acquisition"][component]
+        assert result["detected"]
+        assert result["prn"] == 1
+        assert abs(result["raw_doppler_error_hz"]) <= 250.0
+        assert result["detection_metric"] >= 2.5
+        assert result["overflow_count"] == 0
+        assert (output / f"acquisition_map_{component.lower()}.png").is_file()
+    # SignalSim does not export code-delay truth, but the independently acquired
+    # E1B and E1C components share the same propagation delay.
+    delta = abs(report["acquisition"]["E1B"]["code_phase_samples"] - report["acquisition"]["E1C"]["code_phase_samples"])
+    assert delta < 1.0
+    fixed = report["fixed_point_acquisition"]
+    assert fixed["doppler_bin_agreement"]
+    assert fixed["code_phase_agreement"]
+    assert fixed["acquisition_decision_agreement"]
+    assert fixed["overflow_count"] == 0
+    assert fixed["normalized_rms_error"] < 0.005
+    assert report["rtl_vector_manifest"]["sample_count"] == 5 * 32736
diff --git a/tests/integration/test_signalsim_code_conventions.py b/tests/integration/test_signalsim_code_conventions.py
new file mode 100644
index 0000000..6b16f26
--- /dev/null
+++ b/tests/integration/test_signalsim_code_conventions.py
@@ -0,0 +1,47 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+import numpy as np
+import pytest
+
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.signalsim_codes import SignalSimCodeProvider
+
+
+def _checkout() -> Path:
+    candidates = [Path("signalsim/SignalSim"), Path("../SignalSim"), Path("../signalsim/SignalSim")]
+    for candidate in candidates:
+        if (candidate / "src" / "MemoryCode.dat").is_file():
+            return candidate.resolve()
+    pytest.skip("local globsky/SignalSim checkout with src/MemoryCode.dat is unavailable")
+
+
+@pytest.mark.signalsim
+def test_signalsim_e1_code_table_unpacking_and_components() -> None:
+    provider = SignalSimCodeProvider(_checkout())
+    profile = galileo_e1_profile()
+    e1b = provider.primary_code(profile, "E1B", 1)
+    e1c = provider.primary_code(profile, "E1C", 1)
+    assert e1b.dtype == np.int8 and e1b.size == 4092
+    assert e1c.dtype == np.int8 and e1c.size == 4092
+    assert set(e1b.tolist()) == {-1, 1}
+    assert not np.array_equal(e1b, e1c)
+    # First table word is 0xf5d71013 and SignalSim reads it MSB first.
+    np.testing.assert_array_equal(e1b[:8], [-1, -1, -1, -1, 1, -1, 1, -1])
+    # Every 32-word storage sector has one discarded padding bit.  Chip 1023
+    # is therefore word 32 bit 31, not word 31 bit 0.
+    words = provider._e1_words[0]  # executable check of the external table layout
+    expected_chip_1023 = -1 if (int(words[32]) >> 31) & 1 else 1
+    assert int(e1b[1023]) == expected_chip_1023
+
+
+@pytest.mark.signalsim
+def test_signalsim_e1c_secondary_is_25_symbols_lsb_first() -> None:
+    provider = SignalSimCodeProvider(_checkout())
+    secondary = provider.secondary_code(galileo_e1_profile(), "E1C", 1)
+    assert secondary is not None and secondary.size == 25
+    # 0x9b501c positions are addressed least-significant bit first.
+    expected_bits = np.asarray([(0x9B501C >> index) & 1 for index in range(25)])
+    np.testing.assert_array_equal(secondary, np.where(expected_bits == 0, 1, -1))
+    assert provider.secondary_code(galileo_e1_profile(), "E1B", 1) is None
diff --git a/tests/integration/test_signalsim_e1b_symbols.py b/tests/integration/test_signalsim_e1b_symbols.py
new file mode 100644
index 0000000..9fa3ce4
--- /dev/null
+++ b/tests/integration/test_signalsim_e1b_symbols.py
@@ -0,0 +1,15 @@
+import pytest
+
+
+@pytest.mark.signalsim
+def test_signalsim_e1b_raw_symbols_contain_periodic_inav_sync(signalsim_validation_result) -> None:
+    report, _, _ = signalsim_validation_result
+    symbols = report["e1b_symbols"]
+    assert symbols["recovered_symbols"] >= 450
+    assert symbols["comparison_scope"] == "known_10_symbol_INAV_sync_words_only"
+    assert symbols["symbol_errors"] == 0
+    assert symbols["frame_or_page_sync"]
+    indices = [match["symbol_index"] for match in symbols["sync_matches"]]
+    # I/NAV even and odd parts each begin with sync, 250 symbols (1 s) apart.
+    assert any(right - left == 250 for left, right in zip(indices, indices[1:]))
+    assert symbols["fec_decoding"] == "not_implemented"
diff --git a/tests/integration/test_signalsim_e1c_secondary_code.py b/tests/integration/test_signalsim_e1c_secondary_code.py
new file mode 100644
index 0000000..007765e
--- /dev/null
+++ b/tests/integration/test_signalsim_e1c_secondary_code.py
@@ -0,0 +1,13 @@
+import pytest
+
+
+@pytest.mark.signalsim
+def test_signalsim_e1c_secondary_sync_and_coherent_gain(signalsim_validation_result) -> None:
+    report, _, _ = signalsim_validation_result
+    sync = report["e1c_secondary"]
+    assert sync["phase"] == 10
+    assert sync["normalized_correlation"] > 0.9
+    assert sync["sign_errors"] == 0
+    assert sync["compared_periods"] >= 100
+    assert sync["wiped_25_period_coherent_gain_db"] > 10.0
+    assert sync["wipeoff_gain_improvement_db"] > 10.0
diff --git a/tests/integration/test_signalsim_full_vectors.py b/tests/integration/test_signalsim_full_vectors.py
new file mode 100644
index 0000000..94cf9ec
--- /dev/null
+++ b/tests/integration/test_signalsim_full_vectors.py
@@ -0,0 +1,19 @@
+import pytest
+
+
+@pytest.mark.signalsim
+def test_signalsim_full_multi_vector_regression(signalsim_validation_result) -> None:
+    report, passed, _ = signalsim_validation_result
+    assert passed
+    assert report["passes"]["full_vector_set"]
+    vectors = report["full_vectors"]
+    assert vectors["nominal_cn0_single_prn"]["acquisition"][1]["pass"]
+    assert vectors["nominal_cn0_single_prn"]["tracking_e1c"]["pass"]
+    assert vectors["negative_doppler"]["acquisition"][27]["pass"]
+    negative_tracking = vectors["negative_doppler"]["tracking_e1b"]
+    assert negative_tracking["pass"]
+    assert negative_tracking["post_pull_in_reacquisition_epoch_count"] == 0
+    assert negative_tracking["estimated_doppler_hz"] < 0.0
+    multiple = vectors["multiple_prns"]["acquisition"]
+    assert set(multiple) == {1, 4, 19, 21, 27}
+    assert all(result["pass"] for result in multiple.values())
diff --git a/tests/integration/test_signalsim_reader.py b/tests/integration/test_signalsim_reader.py
new file mode 100644
index 0000000..afaf068
--- /dev/null
+++ b/tests/integration/test_signalsim_reader.py
@@ -0,0 +1,53 @@
+from __future__ import annotations
+
+import numpy as np
+import pytest
+
+from galileo_rx.io.signalsim_reader import SignalSimReader, SignalSimSampleSpec
+
+
+def test_iq8_signed_i_then_q_and_double_precision(tmp_path) -> None:
+    path = tmp_path / "iq8.bin"
+    path.write_bytes(bytes([0x80, 0x7F, 0xFF, 0x01, 0x02, 0xFE]))
+    samples = SignalSimReader(path, SignalSimSampleSpec("IQ8")).read()
+    assert samples.dtype == np.complex128
+    np.testing.assert_array_equal(samples, [-128 + 127j, -1 + 1j, 2 - 2j])
+
+
+def test_iq16_little_endian_scaling_and_qi_order(tmp_path) -> None:
+    path = tmp_path / "iq16.bin"
+    np.asarray([100, -200, -300, 400], dtype="<i2").tofile(path)
+    spec = SignalSimSampleSpec("IQ16", iq_order="QI", scale_counts_per_unit=100.0)
+    np.testing.assert_allclose(SignalSimReader(path, spec).read(), [-2 + 1j, 4 - 3j], rtol=0.0, atol=0.0)
+
+
+def test_iq4_sign_magnitude(tmp_path) -> None:
+    path = tmp_path / "iq4.bin"
+    path.write_bytes(bytes([0x17, 0xA9, 0x80]))
+    np.testing.assert_array_equal(SignalSimReader(path, SignalSimSampleSpec("IQ4")).read(), [1 + 7j, -2 - 1j, 0 + 0j])
+
+
+def test_iq2_packed_order_and_offset(tmp_path) -> None:
+    path = tmp_path / "iq2.bin"
+    # sample 0: I=+1,Q=-1 -> 0xd; sample 1: I=-1,Q=+1 -> 0x7
+    path.write_bytes(bytes([0x7D]))
+    reader = SignalSimReader(path, SignalSimSampleSpec("IQ2"))
+    np.testing.assert_array_equal(reader.read(), [1 - 1j, -1 + 1j])
+    np.testing.assert_array_equal(reader.read(1, 1), [-1 + 1j])
+
+
+def test_truncation_odd_iq_and_block_streaming(tmp_path) -> None:
+    path = tmp_path / "odd.bin"
+    path.write_bytes(b"\x01\x02\x03")
+    reader = SignalSimReader(path, SignalSimSampleSpec("IQ8"))
+    with pytest.raises(ValueError, match="truncated"):
+        _ = reader.sample_count
+
+    complete = tmp_path / "complete.bin"
+    complete.write_bytes(bytes(range(12)))
+    reader = SignalSimReader(complete, SignalSimSampleSpec("IQ8"), memory_map=True)
+    blocks = list(reader.blocks(2, offset_samples=1, count=4))
+    assert [block.size for block in blocks] == [2, 2]
+    np.testing.assert_array_equal(np.concatenate(blocks), [2 + 3j, 4 + 5j, 6 + 7j, 8 + 9j])
+    with pytest.raises(EOFError, match="only 1 remain"):
+        reader.read(2, 5)
diff --git a/tests/integration/test_signalsim_tracking.py b/tests/integration/test_signalsim_tracking.py
new file mode 100644
index 0000000..6cfbdb1
--- /dev/null
+++ b/tests/integration/test_signalsim_tracking.py
@@ -0,0 +1,15 @@
+import pytest
+
+
+@pytest.mark.signalsim
+def test_signalsim_e1b_and_e1c_tracking_lock(signalsim_validation_result) -> None:
+    report, _, output = signalsim_validation_result
+    for component in ("E1B", "E1C"):
+        result = report["tracking"][component]
+        assert result["final_state"] == "PLL_TRACK"
+        assert result["reacquisition_epoch_count"] == 0
+        assert abs(result["doppler_error_hz"]) < 10.0
+        assert result["doppler_jitter_hz_rms"] < 5.0
+        assert result["dll_error_chips_rms"] < 0.15
+        assert result["mean_code_lock_metric"] > 1.0
+        assert (output / f"tracking_{component.lower()}.csv").is_file()
diff --git a/tests/integration/test_tracking.py b/tests/integration/test_tracking.py
new file mode 100644
index 0000000..449152d
--- /dev/null
+++ b/tests/integration/test_tracking.py
@@ -0,0 +1,103 @@
+import numpy as np
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import AcquisitionConfig, TrackingConfig
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+from galileo_rx.tracking.tracking_channel import TrackingChannel
+from galileo_rx.tracking.tracking_manager import TrackingManager
+from galileo_rx.types import AcquisitionResult, TrackingState
+
+
+def test_acquisition_to_tracking_and_multichannel_manager() -> None:
+    fs = 4.092e6
+    profile = galileo_e1_profile()
+    provider = SyntheticCodeProvider()
+    satellites = [
+        SatelliteSignalConfig(2, "E1C", code_delay_chips=81.0, doppler_hz=1000.0, carrier_phase_rad=0.1, cn0_db_hz=52.0),
+    ]
+    generator = SyntheticSignalGenerator(profile, provider, fs, satellites=satellites, channel=ChannelModelConfig(seed=9))
+    samples, _ = generator.generate(int(0.12 * fs))
+    acquisition_config = AcquisitionConfig(
+        doppler_min_hz=0,
+        doppler_max_hz=2000,
+        doppler_step_hz=250,
+        coherent_integration_ms=4,
+        noncoherent_accumulations=2,
+        detection_threshold=2.0,
+        zero_padding_mode="none",
+        parabolic_interpolation=False,
+    )
+    acquisition, _ = AcquisitionManager(profile, provider, fs, acquisition_config).acquire_one(samples, "E1C", 2)
+    assert acquisition.detected
+    tracking_config = TrackingConfig(
+        integration_ms=4.0,
+        use_fll_assist=True,
+        pull_in_duration_ms=20.0,
+        secondary_code_mode="wipeoff",
+        loss_of_lock_epochs=20,
+    )
+    manager = TrackingManager(profile, provider, fs, tracking_config)
+    channel = manager.add_channel(acquisition)
+    measurements = channel.process(samples[: 25 * channel.integration_samples])
+    assert len(measurements) == 25
+    assert not measurements[-1].reacquisition_requested
+    assert measurements[-1].state in {TrackingState.PLL_TRACK, TrackingState.WEAK_SIGNAL}
+    assert abs(measurements[-1].carrier_frequency_hz - 1000.0) < 100.0
+    assert np.median([abs(item.dll_error_chips) for item in measurements[-10:]]) < 0.1
+
+
+def test_tracking_under_doppler_rate() -> None:
+    fs = 4.092e6
+    profile = galileo_e1_profile()
+    provider = SyntheticCodeProvider()
+    generator = SyntheticSignalGenerator(
+        profile,
+        provider,
+        fs,
+        satellites=[SatelliteSignalConfig(4, "E1B", code_delay_chips=11.0, doppler_hz=-500.0, doppler_rate_hz_s=100.0)],
+        channel=ChannelModelConfig(add_awgn=False),
+    )
+    samples, _ = generator.generate(int(0.08 * fs))
+    acquisition_config = AcquisitionConfig(
+        doppler_min_hz=-1000,
+        doppler_max_hz=0,
+        doppler_step_hz=250,
+        coherent_integration_ms=4,
+        noncoherent_accumulations=1,
+        detection_threshold=1.5,
+        zero_padding_mode="none",
+    )
+    acquisition, _ = AcquisitionManager(profile, provider, fs, acquisition_config).acquire_one(samples, "E1B", 4)
+    channel = TrackingChannel(profile, provider, fs, TrackingConfig(pull_in_duration_ms=40.0), acquisition)
+    measurements = channel.process(samples)
+    expected_hz = -500.0 + 100.0 * measurements[-1].time_s
+    assert abs(measurements[-1].carrier_frequency_hz - expected_hz) < 100.0
+
+
+def test_code_aiding_uses_doppler_not_nonzero_if_center() -> None:
+    fs = 8.184e6
+    profile = galileo_e1_profile()
+    provider = SyntheticCodeProvider()
+    if_hz = 2.046e6
+    doppler_hz = 1800.0
+    acquisition = AcquisitionResult(
+        detected=True,
+        prn=1,
+        component="E1B",
+        code_phase_samples=0.0,
+        code_phase_chips=0.0,
+        doppler_hz=doppler_hz,
+        carrier_frequency_hz=if_hz + doppler_hz,
+        peak_power=1.0,
+        second_peak_power=0.1,
+        detection_metric=10.0,
+        estimated_cn0_db_hz=None,
+        coherent_integration_ms=4.0,
+        noncoherent_accumulations=1,
+    )
+    channel = TrackingChannel(profile, provider, fs, TrackingConfig(use_fll_assist=False), acquisition)
+    expected_hz = profile.code_rate_hz * (1.0 + doppler_hz / profile.carrier_frequency_hz)
+    assert abs(channel.code_nco.frequency_hz - expected_hz) < 1e-9
+    assert channel.carrier_center_hz == if_hz
diff --git a/tests/regression/test_complete_receiver.py b/tests/regression/test_complete_receiver.py
new file mode 100644
index 0000000..ecd4c67
--- /dev/null
+++ b/tests/regression/test_complete_receiver.py
@@ -0,0 +1,42 @@
+import numpy as np
+
+from galileo_rx.acquisition.acquisition_manager import AcquisitionManager
+from galileo_rx.config import AcquisitionConfig, TrackingConfig
+from galileo_rx.fixed_point.fixed_correlator import FixedCorrelator
+from galileo_rx.fixed_point.formats import FixedFormat
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+from galileo_rx.tracking.tracking_channel import TrackingChannel
+
+
+def test_complete_float_and_fixed_prompt_regression() -> None:
+    fs = 4.092e6
+    profile, provider = galileo_e1_profile(), SyntheticCodeProvider()
+    generator = SyntheticSignalGenerator(
+        profile,
+        provider,
+        fs,
+        satellites=[SatelliteSignalConfig(11, "E1B", code_delay_chips=24.0, doppler_hz=-750.0, carrier_phase_rad=0.05, cn0_db_hz=50.0)],
+        channel=ChannelModelConfig(seed=123),
+    )
+    samples, _ = generator.generate(int(0.06 * fs))
+    acquisition_config = AcquisitionConfig(
+        doppler_min_hz=-1500, doppler_max_hz=0, doppler_step_hz=250,
+        noncoherent_accumulations=2, detection_threshold=2.0, zero_padding_mode="none", parabolic_interpolation=False,
+    )
+    acquisition, _ = AcquisitionManager(profile, provider, fs, acquisition_config).acquire_one(samples, "E1B", 11)
+    assert acquisition.detected and acquisition.raw_doppler_hz == -750.0
+    channel = TrackingChannel(profile, provider, fs, TrackingConfig(pull_in_duration_ms=12.0), acquisition)
+    measurements = channel.process(samples)
+    assert len(measurements) == 15 and not measurements[-1].reacquisition_requested
+
+    count = channel.integration_samples
+    phases = (-acquisition.code_phase_chips + np.arange(count) * profile.code_rate_hz / fs)
+    code = provider.primary_code(profile, "E1B", 11)
+    replica = code[np.floor(phases).astype(np.int64) % code.size] * np.where(np.mod(phases, 1.0) < 0.5, 1, -1)
+    # This vector is intentionally unnormalized AWGN, so use an input format
+    # with integer headroom rather than the post-AGC Q1.7 default.
+    fixed_prompt = FixedCorrelator(fs, acquisition.carrier_frequency_hz, sample_format=FixedFormat(12, 4)).correlate_prompt(samples[:count], replica)
+    float_prompt = np.sum(samples[:count] * np.exp(-2j * np.pi * acquisition.carrier_frequency_hz * np.arange(count) / fs) * replica)
+    assert abs(fixed_prompt.complex_value - float_prompt) / abs(float_prompt) < 0.03
diff --git a/tests/unit/test_acquisition_metrics.py b/tests/unit/test_acquisition_metrics.py
new file mode 100644
index 0000000..850068f
--- /dev/null
+++ b/tests/unit/test_acquisition_metrics.py
@@ -0,0 +1,27 @@
+import numpy as np
+
+from galileo_rx.acquisition.detector import parabolic_offset
+from galileo_rx.acquisition.metrics import calculate_metrics, circular_guard_mask
+
+
+def test_circular_peak_exclusion_wraparound() -> None:
+    mask = circular_guard_mask(10, 0, 2)
+    assert not mask[0] and not mask[1] and not mask[2]
+    assert not mask[8] and not mask[9]
+    assert mask[3]
+
+
+def test_second_peak_ignores_guard() -> None:
+    power = np.ones(20)
+    power[0] = 100
+    power[19] = 80
+    power[8] = 10
+    metrics = calculate_metrics(power, 0, 1)
+    assert metrics["second_peak"] == 10
+    assert metrics["peak_to_second"] == 10
+
+
+def test_parabolic_peak_interpolation() -> None:
+    assert parabolic_offset(3.0, 4.0, 3.0) == 0.0
+    assert parabolic_offset(2.0, 4.0, 3.0) > 0
+
diff --git a/tests/unit/test_acquisition_parallelism.py b/tests/unit/test_acquisition_parallelism.py
new file mode 100644
index 0000000..0278676
--- /dev/null
+++ b/tests/unit/test_acquisition_parallelism.py
@@ -0,0 +1,18 @@
+import numpy as np
+
+from galileo_rx.config import AcquisitionConfig
+from galileo_rx.acquisition.fft_pcps import PcpsAcquisition
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+
+
+def test_doppler_batched_matches_sequential() -> None:
+    fs = 4.092e6
+    profile, provider = galileo_e1_profile(), SyntheticCodeProvider()
+    generator = SyntheticSignalGenerator(profile, provider, fs, satellites=[SatelliteSignalConfig(1, doppler_hz=500)], channel=ChannelModelConfig(add_awgn=False))
+    samples, _ = generator.generate(int(0.004 * fs))
+    common = dict(doppler_min_hz=0, doppler_max_hz=1000, doppler_step_hz=250, noncoherent_accumulations=1, zero_padding_mode="none")
+    sequential = PcpsAcquisition(profile, provider, fs, AcquisitionConfig(**common, parallelism="sequential")).search(samples, "E1C", 1)
+    batched = PcpsAcquisition(profile, provider, fs, AcquisitionConfig(**common, parallelism="batched", doppler_batch_size=3)).search(samples, "E1C", 1)
+    np.testing.assert_allclose(batched.power, sequential.power, rtol=1e-12, atol=1e-6)
diff --git a/tests/unit/test_config.py b/tests/unit/test_config.py
new file mode 100644
index 0000000..06fac3f
--- /dev/null
+++ b/tests/unit/test_config.py
@@ -0,0 +1,20 @@
+import pytest
+
+from galileo_rx.config import ReceiverConfig, load_config
+
+
+def test_default_configuration_is_valid() -> None:
+    ReceiverConfig().validate()
+
+
+def test_e1c_long_integration_requires_secondary_handling() -> None:
+    config = ReceiverConfig()
+    config.acquisition.coherent_integration_ms = 8.0
+    with pytest.raises(ValueError, match="secondary-code"):
+        config.validate()
+
+
+def test_yaml_load() -> None:
+    config = load_config("configs/e1_default.yaml")
+    assert config.rf.sampling_frequency_hz == 16.368e6
+
diff --git a/tests/unit/test_correlator.py b/tests/unit/test_correlator.py
new file mode 100644
index 0000000..1f472c8
--- /dev/null
+++ b/tests/unit/test_correlator.py
@@ -0,0 +1,42 @@
+import numpy as np
+
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+from galileo_rx.tracking.correlator import CorrelatorBank, SampleStreamCorrelator
+from galileo_rx.tracking.nco import CarrierNco, CodeNco
+
+
+def make_bank(fs: float, phase: float) -> CorrelatorBank:
+    profile = galileo_e1_profile()
+    return CorrelatorBank(
+        profile,
+        SyntheticCodeProvider(),
+        "E1B",
+        1,
+        CarrierNco(fs, 500.0),
+        CodeNco(fs, 4092, profile.code_rate_hz, phase),
+        0.25,
+        0.75,
+    )
+
+
+def test_vector_and_sample_stream_correlators_agree() -> None:
+    fs = 4.5e6
+    profile = galileo_e1_profile()
+    generator = SyntheticSignalGenerator(
+        profile,
+        SyntheticCodeProvider(),
+        fs,
+        satellites=[SatelliteSignalConfig(1, "E1B", code_delay_chips=3.2, doppler_hz=500.0)],
+        channel=ChannelModelConfig(add_awgn=False),
+    )
+    samples, _ = generator.generate(500)
+    vector = make_bank(fs, -3.2).correlate(samples)
+    stream = SampleStreamCorrelator(make_bank(fs, -3.2))
+    for sample in samples:
+        stream.accept(sample)
+    cycle = stream.dump()
+    for tap in ("very_early", "early", "prompt", "late", "very_late"):
+        assert abs(getattr(vector, tap) - getattr(cycle, tap)) < 1e-8
+
diff --git a/tests/unit/test_discriminators.py b/tests/unit/test_discriminators.py
new file mode 100644
index 0000000..f2a031f
--- /dev/null
+++ b/tests/unit/test_discriminators.py
@@ -0,0 +1,32 @@
+import numpy as np
+
+from galileo_rx.tracking.discriminators import (
+    dll_noncoherent_power_chips,
+    dll_normalized_envelope_chips,
+    fll_bpsk_phase_difference_hz,
+    fll_phase_difference_hz,
+    pll_four_quadrant_rad,
+    pll_two_quadrant_rad,
+)
+
+
+def test_pll_discriminator_sign_and_units() -> None:
+    prompt = np.exp(1j * 0.2)
+    assert abs(pll_four_quadrant_rad(prompt) - 0.2) < 1e-12
+    assert abs(pll_two_quadrant_rad(prompt) - 0.2) < 1e-12
+
+
+def test_fll_phase_difference_is_hz() -> None:
+    dt = 0.004
+    assert abs(fll_phase_difference_hz(1 + 0j, np.exp(2j * np.pi * 10 * dt), dt) - 10.0) < 1e-12
+
+
+def test_bpsk_fll_rejects_data_sign_transition() -> None:
+    dt = 0.004
+    prompt = -np.exp(2j * np.pi * 10 * dt)
+    assert abs(fll_bpsk_phase_difference_hz(1 + 0j, prompt, dt) - 10.0) < 1e-12
+
+
+def test_dll_sign() -> None:
+    assert dll_normalized_envelope_chips(2 + 0j, 1 + 0j, 0.25) > 0
+    assert dll_noncoherent_power_chips(2 + 0j, 1 + 0j, 0.25) > 0
diff --git a/tests/unit/test_fixed_fft.py b/tests/unit/test_fixed_fft.py
new file mode 100644
index 0000000..71555c1
--- /dev/null
+++ b/tests/unit/test_fixed_fft.py
@@ -0,0 +1,31 @@
+import numpy as np
+
+from galileo_rx.fixed_point.fixed_fft import FixedRadix2Fft
+from galileo_rx.fixed_point.formats import FixedFormat
+
+
+def test_fixed_fft_impulse_and_scaling() -> None:
+    values = np.zeros(16, dtype=np.complex128)
+    values[0] = 0.5
+    model = FixedRadix2Fft(FixedFormat(20, 17))
+    result = model.forward(values)
+    np.testing.assert_allclose(result.dequantize(), np.fft.fft(values) / values.size, atol=4 * model.data_format.lsb)
+    assert result.overflow_count == 0
+
+
+def test_fixed_fft_random_vector_and_inverse() -> None:
+    rng = np.random.default_rng(91)
+    values = 0.1 * (rng.standard_normal(32) + 1j * rng.standard_normal(32))
+    model = FixedRadix2Fft(FixedFormat(24, 19))
+    spectrum = model.forward(values).dequantize()
+    np.testing.assert_allclose(spectrum, np.fft.fft(values) / values.size, atol=2e-5)
+    restored = model.inverse(spectrum).dequantize()
+    # IFFT of the already 1/N-scaled forward spectrum is x/N.
+    np.testing.assert_allclose(restored, values / values.size, atol=2e-5)
+
+
+def test_fixed_fft_rejects_non_power_of_two() -> None:
+    import pytest
+
+    with pytest.raises(ValueError, match="power of two"):
+        FixedRadix2Fft().forward(np.ones(12))
diff --git a/tests/unit/test_fixed_point.py b/tests/unit/test_fixed_point.py
new file mode 100644
index 0000000..a17e4ff
--- /dev/null
+++ b/tests/unit/test_fixed_point.py
@@ -0,0 +1,59 @@
+import numpy as np
+
+from galileo_rx.fixed_point.fixed_correlator import FixedCorrelator
+from galileo_rx.fixed_point.fixed_nco import FixedNco
+from galileo_rx.fixed_point.fixed_loop_filter import FixedSecondOrderLoopFilter
+from galileo_rx.fixed_point.formats import FixedFormat
+from galileo_rx.fixed_point.quantizer import Quantizer
+
+
+def test_saturation_and_overflow_counter() -> None:
+    quantizer = Quantizer(FixedFormat(4, 2), overflow="saturate", rounding="nearest")
+    result = quantizer.quantize([-3.0, -1.0, 0.0, 1.9, 3.0])
+    np.testing.assert_array_equal(result, [-8, -4, 0, 7, 7])
+    assert quantizer.statistics.overflow_count == 3
+
+
+def test_twos_complement_wrap() -> None:
+    quantizer = Quantizer(FixedFormat(4, 0), overflow="wrap", rounding="truncate")
+    np.testing.assert_array_equal(quantizer.quantize([8, 9, -9]), [-8, -7, 7])
+
+
+def test_convergent_rounding_ties_to_even() -> None:
+    quantizer = Quantizer(FixedFormat(8, 1), rounding="convergent")
+    np.testing.assert_array_equal(quantizer.quantize([0.25, 0.75, 1.25]), [0, 2, 2])
+
+
+def test_fixed_nco_phase_continuity_and_frequency_word() -> None:
+    whole = FixedNco(10e6, 1e6)
+    split = FixedNco(10e6, 1e6)
+    c1, s1 = whole.generate(50)
+    ca, sa = split.generate(17)
+    cb, sb = split.generate(33)
+    np.testing.assert_array_equal(c1, np.concatenate([ca, cb]))
+    np.testing.assert_array_equal(s1, np.concatenate([sa, sb]))
+    assert abs(whole.frequency_control_word * 10e6 / 2**32 - 1e6) < 10e6 / 2**33
+
+
+def test_fixed_correlator_close_to_float() -> None:
+    fs = 1e6
+    count = 1000
+    time_s = np.arange(count) / fs
+    replica = np.where(np.arange(count) % 3, 1, -1)
+    samples = 0.5 * replica * np.exp(2j * np.pi * 125e3 * time_s)
+    model = FixedCorrelator(fs, 125e3)
+    result = model.correlate_prompt(samples, replica)
+    assert abs(result.complex_value.real - 500.0) < 5.0
+    assert abs(result.complex_value.imag) < 5.0
+    assert result.overflow_count == 0
+
+
+def test_fixed_loop_filter_tracks_double_reference() -> None:
+    from galileo_rx.tracking.loop_filters import SecondOrderLoopFilter
+
+    fixed = FixedSecondOrderLoopFilter(2.0, 0.004)
+    reference = SecondOrderLoopFilter(2.0)
+    fixed_output = np.asarray([fixed.update(0.02) for _ in range(100)])
+    reference_output = np.asarray([reference.update(0.02, 0.004) for _ in range(100)])
+    assert np.sqrt(np.mean((fixed_output - reference_output) ** 2)) < 1e-3
+    assert fixed.overflow_count == 0
diff --git a/tests/unit/test_frontend.py b/tests/unit/test_frontend.py
new file mode 100644
index 0000000..78f3fb7
--- /dev/null
+++ b/tests/unit/test_frontend.py
@@ -0,0 +1,32 @@
+import numpy as np
+
+from galileo_rx.config import FrontendConfig, RfConfig
+from galileo_rx.frontend.frontend_chain import FrontendChain
+from galileo_rx.frontend.mixer import PhaseAccumulatorNco
+
+
+def test_nco_frequency_word_accuracy_and_block_continuity() -> None:
+    full = PhaseAccumulatorNco(10.0e6, 1.234567e6, phase_width=32)
+    blocked = PhaseAccumulatorNco(10.0e6, 1.234567e6, phase_width=32)
+    expected = full.generate(100)
+    actual = np.concatenate([blocked.generate(37), blocked.generate(63)])
+    np.testing.assert_allclose(actual, expected, atol=1e-14)
+    assert abs(full.actual_frequency_hz - 1.234567e6) <= 10.0e6 / 2**33
+
+
+def test_real_if_mixer_sign_and_phase_continuity() -> None:
+    fs = 8.0e6
+    rf = RfConfig(sample_format="float64", input_is_real_if=True, sampling_frequency_hz=fs, intermediate_frequency_hz=2.0e6)
+    chain = FrontendChain(rf, FrontendConfig())
+    time_s = np.arange(160) / fs
+    real_if = np.cos(2 * np.pi * 2.0e6 * time_s)
+    result = np.concatenate([chain.process(real_if[:61]), chain.process(real_if[61:])])
+    # A real mixer produces desired DC plus the unfiltered negative-frequency image.
+    assert abs(np.mean(result) - 0.5) < 0.02
+
+
+def test_signed_sample_conversion() -> None:
+    rf = RfConfig(sample_format="int8", sampling_frequency_hz=4.0e6, intermediate_frequency_hz=0.0, sample_bit_width=8)
+    chain = FrontendChain(rf, FrontendConfig())
+    result = chain.process(np.array([-128, 0, 127], dtype=np.int8))
+    np.testing.assert_allclose(result.real, [-1.0, 0.0, 127 / 128])
diff --git a/tests/unit/test_loop_filters.py b/tests/unit/test_loop_filters.py
new file mode 100644
index 0000000..a9d16a2
--- /dev/null
+++ b/tests/unit/test_loop_filters.py
@@ -0,0 +1,23 @@
+import numpy as np
+
+from galileo_rx.tracking.loop_filters import SecondOrderLoopFilter, ThirdOrderLoopFilter, second_order_natural_frequency_rad_s
+
+
+def test_loop_coefficients_are_physical_and_positive() -> None:
+    wn = second_order_natural_frequency_rad_s(15.0, 0.707)
+    loop = SecondOrderLoopFilter(15.0, 0.707)
+    assert wn > 0 and loop.proportional_gain > 0 and loop.integral_gain > 0
+
+
+def test_second_order_step_response_is_finite_and_monotonic_initially() -> None:
+    loop = SecondOrderLoopFilter(2.0)
+    output = np.asarray([loop.update(0.1, 0.004) for _ in range(100)])
+    assert np.all(np.isfinite(output))
+    assert output[-1] > output[0] > 0
+
+
+def test_third_order_constant_error_has_finite_response() -> None:
+    loop = ThirdOrderLoopFilter(5.0)
+    output = [loop.update(0.01, 0.004) for _ in range(100)]
+    assert np.all(np.isfinite(output)) and output[-1] > output[0]
+
diff --git a/tests/unit/test_rtl_model.py b/tests/unit/test_rtl_model.py
new file mode 100644
index 0000000..ca63610
--- /dev/null
+++ b/tests/unit/test_rtl_model.py
@@ -0,0 +1,16 @@
+from galileo_rx.rtl_model.cycle_model import AcquisitionArchitectureEstimate, TrackingScheduler
+
+
+def test_acquisition_sizing_formulas() -> None:
+    estimate = AcquisitionArchitectureEstimate(16.368e6, 0.004, 5, 36, 81, 65536, 200e6, 4)
+    assert estimate.samples_per_coherent_interval == 65472
+    assert estimate.fft_operations_per_prn == 810
+    assert estimate.sample_buffer_complex_words == 327360
+    assert estimate.acquisition_time_s > 0
+
+
+def test_tracking_scheduler_condition() -> None:
+    good = TrackingScheduler(16.368e6, 200e6, 8, 2, 2)
+    bad = TrackingScheduler(16.368e6, 50e6, 16, 1, 2)
+    assert good.schedulable_without_loss
+    assert not bad.schedulable_without_loss
diff --git a/tests/unit/test_signals.py b/tests/unit/test_signals.py
new file mode 100644
index 0000000..79a6ed8
--- /dev/null
+++ b/tests/unit/test_signals.py
@@ -0,0 +1,58 @@
+import numpy as np
+
+from galileo_rx.signal_profiles import galileo_e1_profile
+from galileo_rx.signals.boc import boc_subcarrier, sample_primary_code
+from galileo_rx.signals.code_provider import SyntheticCodeProvider
+from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSignalConfig, SyntheticSignalGenerator
+
+
+def test_code_sampling_wrap_and_noninteger_rate() -> None:
+    code = np.array([1, -1, 1, 1], dtype=np.int8)
+    sampled, phase = sample_primary_code(code, 11, 2.5, 1.0, 3.5)
+    assert sampled.shape == (11,)
+    assert 0 <= phase < 4
+    assert set(sampled) == {-1.0, 1.0}
+
+
+def test_boc_phase_continuity_between_blocks() -> None:
+    whole, _ = boc_subcarrier(31, 7.3e6, 1.023e6, 0.17)
+    first, phase = boc_subcarrier(13, 7.3e6, 1.023e6, 0.17)
+    second, _ = boc_subcarrier(18, 7.3e6, 1.023e6, phase)
+    np.testing.assert_array_equal(whole, np.concatenate([first, second]))
+
+
+def test_synthetic_provider_is_deterministic_and_component_specific() -> None:
+    profile = galileo_e1_profile()
+    provider = SyntheticCodeProvider()
+    a = provider.primary_code(profile, "E1C", 1)
+    np.testing.assert_array_equal(a, provider.primary_code(profile, "E1C", 1))
+    assert not np.array_equal(a, provider.primary_code(profile, "E1B", 1))
+
+
+def test_generator_streaming_matches_single_block_without_noise() -> None:
+    profile = galileo_e1_profile()
+    provider = SyntheticCodeProvider()
+    satellite = SatelliteSignalConfig(prn=3, doppler_hz=1234.0, code_delay_chips=17.25)
+    channel = ChannelModelConfig(add_awgn=False)
+    whole_generator = SyntheticSignalGenerator(profile, provider, 4.5e6, satellites=[satellite], channel=channel)
+    block_generator = SyntheticSignalGenerator(profile, provider, 4.5e6, satellites=[satellite], channel=channel)
+    whole, _ = whole_generator.generate(1001)
+    a, _ = block_generator.generate(317)
+    b, _ = block_generator.generate(684)
+    np.testing.assert_allclose(whole, np.concatenate([a, b]), atol=2e-6)
+
+
+def test_real_if_and_truth_metadata() -> None:
+    profile = galileo_e1_profile()
+    generator = SyntheticSignalGenerator(
+        profile,
+        SyntheticCodeProvider(),
+        8.0e6,
+        2.0e6,
+        True,
+        [SatelliteSignalConfig(prn=7, component="E1B", code_delay_chips=2.5)],
+        ChannelModelConfig(add_awgn=False),
+    )
+    samples, truth = generator.generate(80)
+    assert samples.dtype == np.float64 and not np.iscomplexobj(samples)
+    assert truth.satellites[0].initial_code_delay_samples == 2.5 * 8.0e6 / 1.023e6
diff --git a/tests/unit/test_symbol_sync.py b/tests/unit/test_symbol_sync.py
new file mode 100644
index 0000000..8c51903
--- /dev/null
+++ b/tests/unit/test_symbol_sync.py
@@ -0,0 +1,31 @@
+import numpy as np
+
+from galileo_rx.tracking.symbol_sync import (
+    compare_symbol_streams,
+    recover_bpsk_symbols,
+    synchronize_secondary_code,
+)
+
+
+def test_raw_symbol_recovery_and_bounded_sign_alignment() -> None:
+    truth = np.asarray([1, -1, -1, 1, 1, -1], dtype=np.int8)
+    prompts = np.repeat(-truth, 2).astype(np.complex128) * (10 + 1j)
+    recovered, values = recover_bpsk_symbols(prompts, 2)
+    assert values.dtype == np.float64
+    result = compare_symbol_streams(recovered, truth, max_alignment_offset_symbols=1)
+    assert result.sign_inverted
+    assert result.symbol_errors == 0
+
+
+def test_joint_secondary_phase_and_frequency_sync() -> None:
+    secondary = np.asarray([1, 1, -1, 1, -1], dtype=np.int8)
+    phase = 3
+    residual_hz = 17.0
+    dt = 0.004
+    epochs = np.arange(40)
+    prompts = secondary[(phase + epochs) % secondary.size] * np.exp(1j * (0.7 + 2 * np.pi * residual_hz * dt * epochs))
+    result = synchronize_secondary_code(prompts, secondary, dt, residual_frequency_min_hz=-30, residual_frequency_max_hz=30)
+    assert result.phase == phase
+    assert result.residual_frequency_hz == residual_hz
+    assert result.normalized_correlation > 0.999999
+    assert result.sign_errors == 0
diff --git a/tests/unit/test_vector_export.py b/tests/unit/test_vector_export.py
new file mode 100644
index 0000000..b90d718
--- /dev/null
+++ b/tests/unit/test_vector_export.py
@@ -0,0 +1,26 @@
+from pathlib import Path
+
+import numpy as np
+
+from galileo_rx.fixed_point.formats import FixedFormat
+from galileo_rx.rtl_model.vector_export import export_complex_hex, export_timed_complex_hex
+
+
+def test_exported_vector_is_twos_complement(tmp_path: Path) -> None:
+    manifest = export_complex_hex(tmp_path, "samples", np.asarray([-1 - 0.5j, 0.5 + 0.25j]), FixedFormat(8, 7))
+    assert (tmp_path / "samples_i.hex").read_text().splitlines() == ["80", "40"]
+    assert (tmp_path / "samples_q.hex").read_text().splitlines() == ["c0", "20"]
+    assert manifest["sample_count"] == 2
+
+
+def test_exported_timestamps_and_register_metadata(tmp_path: Path) -> None:
+    manifest = export_timed_complex_hex(
+        tmp_path,
+        "timed",
+        np.asarray([1 + 2j, 3 + 4j]),
+        FixedFormat(8, 0),
+        8.0,
+        {"ACQ_COHERENT_SAMPLES": 2},
+    )
+    assert (tmp_path / "timed_timestamps.csv").read_text().splitlines() == ["sample_index,time_s", "0,0", "1,0.125"]
+    assert manifest["register_values"]["ACQ_COHERENT_SAMPLES"] == 2
diff --git a/tools/build_signalsim.sh b/tools/build_signalsim.sh
new file mode 100755
index 0000000..559709b
--- /dev/null
+++ b/tools/build_signalsim.sh
@@ -0,0 +1,50 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+if [[ $# -lt 1 || $# -gt 2 ]]; then
+    echo "usage: $0 /path/to/SignalSim [build-directory]" >&2
+    exit 2
+fi
+
+signalsim_source=$(realpath "$1")
+project_root=$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)
+build_directory=${2:-"${project_root}/build/signalsim"}
+
+if [[ ! -f "${signalsim_source}/IFdataGen/CMakeLists.txt" ]]; then
+    echo "error: ${signalsim_source} is not a SignalSim tree with IFdataGen/CMakeLists.txt" >&2
+    exit 3
+fi
+
+for dependency in cmake c++; do
+    if ! command -v "${dependency}" >/dev/null 2>&1; then
+        echo "error: required build dependency '${dependency}' is missing" >&2
+        exit 4
+    fi
+done
+
+generator=()
+if command -v ninja >/dev/null 2>&1; then
+    generator=(-G Ninja)
+fi
+
+echo "SignalSim source: ${signalsim_source}"
+echo "Build directory: ${build_directory}"
+echo "CMake: $(cmake --version | head -n 1)"
+echo "Compiler: $(c++ --version | head -n 1)"
+if command -v ninja >/dev/null 2>&1; then
+    echo "Ninja: $(ninja --version)"
+else
+    echo "Ninja: unavailable; using CMake default generator"
+fi
+
+cmake -S "${signalsim_source}/IFdataGen" -B "${build_directory}" "${generator[@]}" \
+    -DCMAKE_BUILD_TYPE=Release -DUSE_NATIVE_OPT=OFF
+cmake --build "${build_directory}" --parallel
+
+executable="${build_directory}/IFdataGen"
+if [[ ! -x "${executable}" ]]; then
+    echo "error: build completed without expected executable ${executable}" >&2
+    exit 5
+fi
+
+echo "SIGNALSIM_EXECUTABLE=${executable}"
diff --git a/tools/generate_signalsim_vectors.py b/tools/generate_signalsim_vectors.py
new file mode 100755
index 0000000..ae54955
--- /dev/null
+++ b/tools/generate_signalsim_vectors.py
@@ -0,0 +1,97 @@
+#!/usr/bin/env python3
+"""Regenerate deterministic SignalSim vectors without modifying SignalSim."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+from pathlib import Path
+import subprocess
+import sys
+from copy import deepcopy
+
+import yaml
+
+
+def sha256(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as stream:
+        for block in iter(lambda: stream.read(1024 * 1024), b""):
+            digest.update(block)
+    return digest.hexdigest()
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--signalsim-path", required=True, type=Path)
+    parser.add_argument("--executable", type=Path)
+    vector_names = ["high_cn0_single_prn", "nominal_cn0_single_prn", "negative_doppler", "multiple_prns"]
+    parser.add_argument("--vector", choices=[*vector_names, "all"], default="high_cn0_single_prn")
+    parser.add_argument("--project-root", type=Path, default=Path(__file__).resolve().parents[1])
+    args = parser.parse_args()
+    source = args.signalsim_path.resolve()
+    root = args.project_root.resolve()
+    executable = args.executable.resolve() if args.executable else root / "build" / "signalsim" / "IFdataGen"
+    if not executable.is_file():
+        subprocess.run([str(root / "tools" / "build_signalsim.sh"), str(source)], check=True)
+    template_path = root / "verification" / "vectors" / "signalsim" / "high_cn0_single_prn" / "config.json"
+    template = json.loads(template_path.read_text(encoding="utf-8"))
+    rinex = source / "EphData" / "BRDC00IGS_R_20211700000_01D_MN.rnx"
+    if not rinex.is_file():
+        raise FileNotFoundError(f"bundled RINEX input is missing: {rinex}")
+    commit = subprocess.check_output(["git", "-C", str(source), "rev-parse", "HEAD"], text=True).strip()
+    variants = {
+        "high_cn0_single_prn": {"duration_s": 2.2, "cn0_db_hz": 55.0, "visible_prns": [1], "expected_doppler_hz": {1: 1828.0}},
+        "nominal_cn0_single_prn": {"duration_s": 0.6, "cn0_db_hz": 50.0, "visible_prns": [1], "expected_doppler_hz": {1: 1828.0}},
+        "negative_doppler": {"duration_s": 2.2, "cn0_db_hz": 55.0, "visible_prns": [27], "expected_doppler_hz": {27: -2637.0}},
+        "multiple_prns": {"duration_s": 0.12, "cn0_db_hz": 55.0, "visible_prns": [1, 4, 19, 21, 27], "expected_doppler_hz": {1: 1828.0, 4: 2171.0, 19: -367.0, 21: -712.0, 27: -2637.0}},
+    }
+    selected = vector_names if args.vector == "all" else [args.vector]
+    for vector_name in selected:
+        parameters = variants[vector_name]
+        vector_dir = root / "verification" / "vectors" / "signalsim" / vector_name
+        vector_dir.mkdir(parents=True, exist_ok=True)
+        config = deepcopy(template)
+        config["description"] = f"SignalSim validation vector: {vector_name}"
+        config["ephemeris"]["name"] = str(rinex)
+        config["trajectory"]["trajectoryList"][0]["time"] = parameters["duration_s"]
+        config["power"]["initPower"]["value"] = parameters["cn0_db_hz"]
+        visible = set(parameters["visible_prns"])
+        config["output"]["config"]["maskOut"] = [{"system": "Galileo", "svid": [prn for prn in range(1, 37) if prn not in visible]}]
+        output_name = f"{vector_name}_iq8.bin"
+        config["output"]["name"] = output_name
+        generated_config = vector_dir / "generated_config.json"
+        generated_config.write_text(json.dumps(config, indent=2) + "\n", encoding="utf-8")
+        output = vector_dir / output_name
+        command = [str(executable), "-c", str(generated_config), "-o", str(output), "-t", "-st"]
+        completed = subprocess.run(command, check=True, text=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
+        (vector_dir / "generation.log").write_text(completed.stdout, encoding="utf-8")
+        metadata = {
+            "name": vector_name,
+            "signalsim_path": str(source),
+            "signalsim_commit": commit,
+            "command": command,
+            "output": str(output.relative_to(root)),
+            "size_bytes": output.stat().st_size,
+            "sha256": sha256(output),
+            "complex_sample_count": output.stat().st_size // 2,
+            "sampling_frequency_hz": 8_184_000.0,
+            "intermediate_frequency_hz": 2_046_000.0,
+            "sample_format": "IQ8_interleaved_signed_I_then_Q",
+            "duration_s": parameters["duration_s"],
+            "prns": parameters["visible_prns"],
+            "components": ["E1B", "E1C"],
+            "expected_doppler_hz": parameters["expected_doppler_hz"],
+            "expected_code_delay": None,
+            "navigation_truth": "INavBit generated from bundled RINEX; no sample-side truth file",
+            "secondary_truth": "PilotBit.cpp SecondaryCodeE1, phase must be synchronized",
+        }
+        (vector_dir / "metadata.yaml").write_text(yaml.safe_dump(metadata, sort_keys=False), encoding="utf-8")
+        print(completed.stdout, end="")
+        print(yaml.safe_dump(metadata, sort_keys=False), end="")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/verification/vectors/signalsim/high_cn0_single_prn/config.json b/verification/vectors/signalsim/high_cn0_single_prn/config.json
new file mode 100644
index 0000000..65a8398
--- /dev/null
+++ b/verification/vectors/signalsim/high_cn0_single_prn/config.json
@@ -0,0 +1,68 @@
+{
+  "version": 1.0,
+  "description": "SignalSim Galileo E1 combined E1B/E1C, single visible PRN 1, high C/N0",
+  "time": {
+    "type": "UTC",
+    "year": 2021,
+    "month": 6,
+    "day": 19,
+    "hour": 10,
+    "minute": 5,
+    "second": 30
+  },
+  "trajectory": {
+    "name": "static single-PRN integration baseline",
+    "initPosition": {
+      "type": "LLA",
+      "format": "d",
+      "longitude": -121.915773,
+      "latitude": 37.352721,
+      "altitude": 20
+    },
+    "initVelocity": {
+      "type": "SCU",
+      "speed": 0,
+      "course": 0
+    },
+    "trajectoryList": [
+      {
+        "type": "Const",
+        "time": 2.2
+      }
+    ]
+  },
+  "ephemeris": {
+    "type": "RINEX",
+    "name": "/home/onur/Desktop/galileo/signalsim/SignalSim/EphData/BRDC00IGS_R_20211700000_01D_MN.rnx"
+  },
+  "output": {
+    "type": "IFdata",
+    "format": "IQ8",
+    "sampleFreq": 8.184,
+    "centerFreq": 1573.374,
+    "name": "high_cn0_single_prn_iq8.bin",
+    "config": {
+      "elevationMask": 3,
+      "maskOut": [
+        {
+          "system": "Galileo",
+          "svid": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]
+        }
+      ]
+    },
+    "systemSelect": [
+      {"system": "GPS", "signal": "L1CA", "enable": false},
+      {"system": "BDS", "signal": "B1C", "enable": false},
+      {"system": "Galileo", "signal": "E1", "enable": true},
+      {"system": "GLONASS", "signal": "G1", "enable": false}
+    ]
+  },
+  "power": {
+    "noiseFloor": -172,
+    "initPower": {
+      "unit": "dBHz",
+      "value": 55
+    },
+    "elevationAdjust": false
+  }
+}
diff --git a/verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin.tag b/verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin.tag
new file mode 100644
index 0000000..1af0745
--- /dev/null
+++ b/verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin.tag
@@ -0,0 +1,8 @@
+PROG = IFDataGen
+TIME = 2026/07/30 19:48:58.623
+FMT  = INT8X2
+F_S  = 8.184000
+F_LO = 1573.374000
+IQ   = 1
+BITS = 8
+SCALE = 1.0
diff --git a/verification/vectors/signalsim/high_cn0_single_prn/metadata.yaml b/verification/vectors/signalsim/high_cn0_single_prn/metadata.yaml
new file mode 100644
index 0000000..bebed8a
--- /dev/null
+++ b/verification/vectors/signalsim/high_cn0_single_prn/metadata.yaml
@@ -0,0 +1,29 @@
+name: high_cn0_single_prn
+signalsim_path: /home/onur/Desktop/galileo/signalsim/SignalSim
+signalsim_remote: https://github.com/globsky/SignalSim
+signalsim_commit: 80b262113e77c4482ca9f5cbfef9bcada402ed28
+command:
+  - /home/onur/Desktop/galileo/build/signalsim/IFdataGen
+  - -c
+  - /home/onur/Desktop/galileo/verification/vectors/signalsim/high_cn0_single_prn/config.json
+  - -o
+  - /home/onur/Desktop/galileo/verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin
+  - -t
+  - -st
+output: verification/vectors/signalsim/high_cn0_single_prn/high_cn0_single_prn_iq8.bin
+size_bytes: 36009600
+complex_sample_count: 18004800
+sha256: 3e72a5ad2d35ee68273b77587a66847b0fb328650b39c9e39272f0dc54e39e3c
+sampling_frequency_hz: 8184000.0
+center_frequency_hz: 1573374000.0
+intermediate_frequency_hz: 2046000.0
+sample_format: IQ8_interleaved_signed_I_then_Q
+duration_s: 2.2
+prn: 1
+components: [E1B, E1C]
+expected_doppler_hz: 1828.0
+expected_doppler_source: SignalSim_validate_only_summary_rounded_to_integer_hz
+expected_code_delay: unavailable_from_SignalSim
+navigation_source: INavBit_generated_from_bundled_RINEX
+secondary_source: PilotBit.cpp_SecondaryCodeE1
+sample_file_committed: false
diff --git a/verification/vectors/signalsim/manifest.yaml b/verification/vectors/signalsim/manifest.yaml
new file mode 100644
index 0000000..aee1b1a
--- /dev/null
+++ b/verification/vectors/signalsim/manifest.yaml
@@ -0,0 +1,58 @@
+simulator:
+  name: SignalSim
+  remote: https://github.com/globsky/SignalSim
+  commit: 80b262113e77c4482ca9f5cbfef9bcada402ed28
+  source_path_detected: /home/onur/Desktop/galileo/signalsim/SignalSim
+
+vectors:
+  high_cn0_single_prn:
+    status: generated_and_validated
+    config: high_cn0_single_prn/config.json
+    output: high_cn0_single_prn/high_cn0_single_prn_iq8.bin
+    representation: complex_iq
+    sample_format: interleaved_twos_complement_int8_iq
+    sample_rate_hz: 8184000
+    center_frequency_hz: 1573374000
+    galileo_e1_if_hz: 2046000
+    duration_s: 2.2
+    prn: 1
+    components: [E1B, E1C]
+    cn0_db_hz: 55
+    expected_doppler_source: SignalSim generation log
+    expected_doppler_hz: 1828
+    expected_code_delay: unavailable_from_SignalSim_cli
+    navigation_source: SignalSim INavBit generated from bundled RINEX ephemeris
+    secondary_code_source: SignalSim PilotBit.cpp SecondaryCodeE1
+    generated_file_committed: false
+    output_size_bytes: 36009600
+    complex_sample_count: 18004800
+    sha256: 3e72a5ad2d35ee68273b77587a66847b0fb328650b39c9e39272f0dc54e39e3c
+    python_validation: pass
+
+  nominal_cn0_single_prn:
+    status: generated_acquisition_and_e1c_tracking_pass
+    config: nominal_cn0_single_prn/generated_config.json
+    output: nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin
+    duration_s: 0.6
+    prn: 1
+    expected_doppler_hz: 1828
+    sha256: ffbcb2cfedc6142ca3064514b4d2c10045abf0221462996a5fc10a49213bf88e
+  positive_doppler: {status: covered_by_high_cn0_geometry_if_positive}
+  negative_doppler:
+    status: generated_acquisition_and_tracking_pass
+    config: negative_doppler/generated_config.json
+    output: negative_doppler/negative_doppler_iq8.bin
+    duration_s: 2.2
+    prn: 27
+    expected_doppler_hz: -2637
+    sha256: b17d2d1f180122041b2688f9a8b1facfc73ab99b521187908c88450d65ddc1ad
+  multiple_prns:
+    status: generated_acquisition_pass_all_five
+    config: multiple_prns/generated_config.json
+    output: multiple_prns/multiple_prns_iq8.bin
+    duration_s: 0.12
+    prns: [1, 4, 19, 21, 27]
+    sha256: 7c6f60e63e2574a4f79034d5a6e16ae954de49502df25b0b532090517ed434d8
+  e1b_only: {status: blocked_SignalSim_E1_is_combined}
+  e1c_only: {status: blocked_SignalSim_E1_is_combined}
+  e1b_e1c_combined: {status: alias_of_high_cn0_single_prn}
diff --git a/verification/vectors/signalsim/multiple_prns/generated_config.json b/verification/vectors/signalsim/multiple_prns/generated_config.json
new file mode 100644
index 0000000..1bef90a
--- /dev/null
+++ b/verification/vectors/signalsim/multiple_prns/generated_config.json
@@ -0,0 +1,116 @@
+{
+  "version": 1.0,
+  "description": "SignalSim validation vector: multiple_prns",
+  "time": {
+    "type": "UTC",
+    "year": 2021,
+    "month": 6,
+    "day": 19,
+    "hour": 10,
+    "minute": 5,
+    "second": 30
+  },
+  "trajectory": {
+    "name": "static single-PRN integration baseline",
+    "initPosition": {
+      "type": "LLA",
+      "format": "d",
+      "longitude": -121.915773,
+      "latitude": 37.352721,
+      "altitude": 20
+    },
+    "initVelocity": {
+      "type": "SCU",
+      "speed": 0,
+      "course": 0
+    },
+    "trajectoryList": [
+      {
+        "type": "Const",
+        "time": 0.12
+      }
+    ]
+  },
+  "ephemeris": {
+    "type": "RINEX",
+    "name": "/home/onur/Desktop/galileo/signalsim/SignalSim/EphData/BRDC00IGS_R_20211700000_01D_MN.rnx"
+  },
+  "output": {
+    "type": "IFdata",
+    "format": "IQ8",
+    "sampleFreq": 8.184,
+    "centerFreq": 1573.374,
+    "name": "multiple_prns_iq8.bin",
+    "config": {
+      "elevationMask": 3,
+      "maskOut": [
+        {
+          "system": "Galileo",
+          "svid": [
+            2,
+            3,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            20,
+            22,
+            23,
+            24,
+            25,
+            26,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36
+          ]
+        }
+      ]
+    },
+    "systemSelect": [
+      {
+        "system": "GPS",
+        "signal": "L1CA",
+        "enable": false
+      },
+      {
+        "system": "BDS",
+        "signal": "B1C",
+        "enable": false
+      },
+      {
+        "system": "Galileo",
+        "signal": "E1",
+        "enable": true
+      },
+      {
+        "system": "GLONASS",
+        "signal": "G1",
+        "enable": false
+      }
+    ]
+  },
+  "power": {
+    "noiseFloor": -172,
+    "initPower": {
+      "unit": "dBHz",
+      "value": 55.0
+    },
+    "elevationAdjust": false
+  }
+}
diff --git a/verification/vectors/signalsim/multiple_prns/generation.log b/verification/vectors/signalsim/multiple_prns/generation.log
new file mode 100644
index 0000000..bc459a7
--- /dev/null
+++ b/verification/vectors/signalsim/multiple_prns/generation.log
@@ -0,0 +1,62 @@
+
+================================================================================
+                          IF SIGNAL GENERATION 
+================================================================================
+[INFO]	Loading JSON file: /home/onur/Desktop/galileo/verification/vectors/signalsim/multiple_prns/generated_config.json
+[INFO]	JSON file read successfully: /home/onur/Desktop/galileo/verification/vectors/signalsim/multiple_prns/generated_config.json
+[INFO]	Using output file from command line: /home/onur/Desktop/galileo/verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin
+[INFO]	Opening output file: /home/onur/Desktop/galileo/verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin
+[INFO]	Output file opened successfully.
+[INFO]	Creating tag file: /home/onur/Desktop/galileo/verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin.tag
+[INFO]	Tag file created: /home/onur/Desktop/galileo/verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin.tag
+[INFO]	OpenMP configured for SERIAL execution (1 thread)
+[INFO]	Generating IF data with following satellite signals:
+
+[INFO]	Enabled Signals:
+	GAL : [ E1 ]
+
+Signals Summary Table:
++---------------+-------------+--------------+------------------------------+
+| Constellation | Visible SVs | Signals / SV | Total Signals / Visible SVs  |
++---------------+-------------+--------------+------------------------------+
+| GPS           | 0           | 0            | 0                            |
+| BeiDou        | 0           | 0            | 0                            |
+| Galileo       | 5           | 1            | 5                            |
+| GLONASS       | 0           | 0            | 0                            |
++---------------+-------------+--------------+------------------------------+
+Total Visible SVs = 5, Total channels = 5
+
+Galileo E1 with IF +2046kHz:
++----+--------------+----+--------------+----+--------------+----+--------------+
+| SV | Doppler (Hz) | SV | Doppler (Hz) | SV | Doppler (Hz) | SV | Doppler (Hz) |
++----+--------------+----+--------------+----+--------------+----+--------------+
+| 01 |        +1828 | 04 |        +2171 | 19 |         -367 | 21 |         -712 |
+| 27 |        -2637 |    |              |    |              |    |              |
++----+--------------+----+--------------+----+--------------+----+--------------+
+
+Total channels: 5
+
+[INFO]	Signal Duration: 0.12 s
+[INFO]	Signal Size: 1.87 MB
+[INFO]	Signal Data format: IQ8
+[INFO]	Signal Center freq: 1573.3740 MHz
+[INFO]	Signal Sample rate: 8.1840 MHz
+
+[INFO]	Starting signal generation loop...
+
+[==========>           20.8%                       ] 25/120 ms | 0.39/1.87 MB @ 30.02 MB/s | ETA: 00s   
+[====================> 41.7%                       ] 50/120 ms | 0.78/1.87 MB @ 30.02 MB/s | ETA: 00s   
+[======================62.5%====>                  ] 75/120 ms | 1.17/1.87 MB @ 30.81 MB/s | ETA: 00s   
+[======================83.3%==============>        ] 100/120 ms | 1.56/1.87 MB @ 30.61 MB/s | ETA: 00s   
+[======================100.0%======================] 120/120 ms | 1.87/1.87 MB | 	COMPLETED
+
+[INFO]	IF Signal generation completed!
+------------------------------------------------------------------
+[INFO]	Total samples: 1947792
+[INFO]	Clipped samples: 1 (0.0001%)
+[INFO]	Final AGC gain: 1.000
+[INFO]	Total time taken: 0.06 s
+[INFO]	Data generated: 1.86 MB
+[INFO]	Average rate: 30.96 MB/s
+------------------------------------------------------------------
+
diff --git a/verification/vectors/signalsim/multiple_prns/metadata.yaml b/verification/vectors/signalsim/multiple_prns/metadata.yaml
new file mode 100644
index 0000000..bbf9434
--- /dev/null
+++ b/verification/vectors/signalsim/multiple_prns/metadata.yaml
@@ -0,0 +1,37 @@
+name: multiple_prns
+signalsim_path: /home/onur/Desktop/galileo/signalsim/SignalSim
+signalsim_commit: 80b262113e77c4482ca9f5cbfef9bcada402ed28
+command:
+- /home/onur/Desktop/galileo/build/signalsim/IFdataGen
+- -c
+- /home/onur/Desktop/galileo/verification/vectors/signalsim/multiple_prns/generated_config.json
+- -o
+- /home/onur/Desktop/galileo/verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin
+- -t
+- -st
+output: verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin
+size_bytes: 1947792
+sha256: 7c6f60e63e2574a4f79034d5a6e16ae954de49502df25b0b532090517ed434d8
+complex_sample_count: 973896
+sampling_frequency_hz: 8184000.0
+intermediate_frequency_hz: 2046000.0
+sample_format: IQ8_interleaved_signed_I_then_Q
+duration_s: 0.12
+prns:
+- 1
+- 4
+- 19
+- 21
+- 27
+components:
+- E1B
+- E1C
+expected_doppler_hz:
+  1: 1828.0
+  4: 2171.0
+  19: -367.0
+  21: -712.0
+  27: -2637.0
+expected_code_delay: null
+navigation_truth: INavBit generated from bundled RINEX; no sample-side truth file
+secondary_truth: PilotBit.cpp SecondaryCodeE1, phase must be synchronized
diff --git a/verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin.tag b/verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin.tag
new file mode 100644
index 0000000..7e0846c
--- /dev/null
+++ b/verification/vectors/signalsim/multiple_prns/multiple_prns_iq8.bin.tag
@@ -0,0 +1,8 @@
+PROG = IFDataGen
+TIME = 2026/07/30 20:17:06.965
+FMT  = INT8X2
+F_S  = 8.184000
+F_LO = 1573.374000
+IQ   = 1
+BITS = 8
+SCALE = 1.0
diff --git a/verification/vectors/signalsim/negative_doppler/generated_config.json b/verification/vectors/signalsim/negative_doppler/generated_config.json
new file mode 100644
index 0000000..7953dd6
--- /dev/null
+++ b/verification/vectors/signalsim/negative_doppler/generated_config.json
@@ -0,0 +1,120 @@
+{
+  "version": 1.0,
+  "description": "SignalSim validation vector: negative_doppler",
+  "time": {
+    "type": "UTC",
+    "year": 2021,
+    "month": 6,
+    "day": 19,
+    "hour": 10,
+    "minute": 5,
+    "second": 30
+  },
+  "trajectory": {
+    "name": "static single-PRN integration baseline",
+    "initPosition": {
+      "type": "LLA",
+      "format": "d",
+      "longitude": -121.915773,
+      "latitude": 37.352721,
+      "altitude": 20
+    },
+    "initVelocity": {
+      "type": "SCU",
+      "speed": 0,
+      "course": 0
+    },
+    "trajectoryList": [
+      {
+        "type": "Const",
+        "time": 2.2
+      }
+    ]
+  },
+  "ephemeris": {
+    "type": "RINEX",
+    "name": "/home/onur/Desktop/galileo/signalsim/SignalSim/EphData/BRDC00IGS_R_20211700000_01D_MN.rnx"
+  },
+  "output": {
+    "type": "IFdata",
+    "format": "IQ8",
+    "sampleFreq": 8.184,
+    "centerFreq": 1573.374,
+    "name": "negative_doppler_iq8.bin",
+    "config": {
+      "elevationMask": 3,
+      "maskOut": [
+        {
+          "system": "Galileo",
+          "svid": [
+            1,
+            2,
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36
+          ]
+        }
+      ]
+    },
+    "systemSelect": [
+      {
+        "system": "GPS",
+        "signal": "L1CA",
+        "enable": false
+      },
+      {
+        "system": "BDS",
+        "signal": "B1C",
+        "enable": false
+      },
+      {
+        "system": "Galileo",
+        "signal": "E1",
+        "enable": true
+      },
+      {
+        "system": "GLONASS",
+        "signal": "G1",
+        "enable": false
+      }
+    ]
+  },
+  "power": {
+    "noiseFloor": -172,
+    "initPower": {
+      "unit": "dBHz",
+      "value": 55.0
+    },
+    "elevationAdjust": false
+  }
+}
diff --git a/verification/vectors/signalsim/negative_doppler/generation.log b/verification/vectors/signalsim/negative_doppler/generation.log
new file mode 100644
index 0000000..bc88048
--- /dev/null
+++ b/verification/vectors/signalsim/negative_doppler/generation.log
@@ -0,0 +1,145 @@
+
+================================================================================
+                          IF SIGNAL GENERATION 
+================================================================================
+[INFO]	Loading JSON file: /home/onur/Desktop/galileo/verification/vectors/signalsim/negative_doppler/generated_config.json
+[INFO]	JSON file read successfully: /home/onur/Desktop/galileo/verification/vectors/signalsim/negative_doppler/generated_config.json
+[INFO]	Using output file from command line: /home/onur/Desktop/galileo/verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin
+[INFO]	Opening output file: /home/onur/Desktop/galileo/verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin
+[INFO]	Output file opened successfully.
+[INFO]	Creating tag file: /home/onur/Desktop/galileo/verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin.tag
+[INFO]	Tag file created: /home/onur/Desktop/galileo/verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin.tag
+[INFO]	OpenMP configured for SERIAL execution (1 thread)
+[INFO]	Generating IF data with following satellite signals:
+
+[INFO]	Enabled Signals:
+	GAL : [ E1 ]
+
+Signals Summary Table:
++---------------+-------------+--------------+------------------------------+
+| Constellation | Visible SVs | Signals / SV | Total Signals / Visible SVs  |
++---------------+-------------+--------------+------------------------------+
+| GPS           | 0           | 0            | 0                            |
+| BeiDou        | 0           | 0            | 0                            |
+| Galileo       | 1           | 1            | 1                            |
+| GLONASS       | 0           | 0            | 0                            |
++---------------+-------------+--------------+------------------------------+
+Total Visible SVs = 1, Total channels = 1
+
+Galileo E1 with IF +2046kHz:
++----+--------------+----+--------------+----+--------------+----+--------------+
+| SV | Doppler (Hz) | SV | Doppler (Hz) | SV | Doppler (Hz) | SV | Doppler (Hz) |
++----+--------------+----+--------------+----+--------------+----+--------------+
+| 27 |        -2637 |    |              |    |              |    |              |
++----+--------------+----+--------------+----+--------------+----+--------------+
+
+Total channels: 1
+
+[INFO]	Signal Duration: 2.20 s
+[INFO]	Signal Size: 34.34 MB
+[INFO]	Signal Data format: IQ8
+[INFO]	Signal Center freq: 1573.3740 MHz
+[INFO]	Signal Sample rate: 8.1840 MHz
+
+[INFO]	Starting signal generation loop...
+
+[>                      1.1%                       ] 25/2200 ms | 0.39/34.34 MB @ 48.78 MB/s | ETA: 00s   
+[=>                     2.3%                       ] 50/2200 ms | 0.78/34.34 MB @ 48.78 MB/s | ETA: 00s   
+[=>                     3.4%                       ] 75/2200 ms | 1.17/34.34 MB @ 46.83 MB/s | ETA: 00s   
+[==>                    4.5%                       ] 100/2200 ms | 1.56/34.34 MB @ 47.30 MB/s | ETA: 00s   
+[==>                    5.7%                       ] 125/2200 ms | 1.95/34.34 MB @ 47.59 MB/s | ETA: 00s   
+[===>                   6.8%                       ] 150/2200 ms | 2.34/34.34 MB @ 47.78 MB/s | ETA: 00s   
+[===>                   8.0%                       ] 175/2200 ms | 2.73/34.34 MB @ 48.78 MB/s | ETA: 00s   
+[====>                  9.1%                       ] 200/2200 ms | 3.12/34.34 MB @ 49.55 MB/s | ETA: 00s   
+[=====>                10.2%                       ] 225/2200 ms | 3.51/34.34 MB @ 49.47 MB/s | ETA: 00s   
+[=====>                11.4%                       ] 250/2200 ms | 3.90/34.34 MB @ 50.03 MB/s | ETA: 00s   
+[======>               12.5%                       ] 275/2200 ms | 4.29/34.34 MB @ 50.50 MB/s | ETA: 00s   
+[======>               13.6%                       ] 300/2200 ms | 4.68/34.34 MB @ 50.35 MB/s | ETA: 00s   
+[=======>              14.8%                       ] 325/2200 ms | 5.07/34.34 MB @ 50.73 MB/s | ETA: 00s   
+[=======>              15.9%                       ] 350/2200 ms | 5.46/34.34 MB @ 50.12 MB/s | ETA: 00s   
+[========>             17.0%                       ] 375/2200 ms | 5.85/34.34 MB @ 50.46 MB/s | ETA: 00s   
+[=========>            18.2%                       ] 400/2200 ms | 6.24/34.34 MB @ 50.76 MB/s | ETA: 00s   
+[=========>            19.3%                       ] 425/2200 ms | 6.63/34.34 MB @ 51.03 MB/s | ETA: 00s   
+[==========>           20.5%                       ] 450/2200 ms | 7.02/34.34 MB @ 50.90 MB/s | ETA: 00s   
+[==========>           21.6%                       ] 475/2200 ms | 7.41/34.34 MB @ 51.14 MB/s | ETA: 00s   
+[===========>          22.7%                       ] 500/2200 ms | 7.80/34.34 MB @ 51.35 MB/s | ETA: 00s   
+[===========>          23.9%                       ] 525/2200 ms | 8.20/34.34 MB @ 51.22 MB/s | ETA: 00s   
+[============>         25.0%                       ] 550/2200 ms | 8.59/34.34 MB @ 51.41 MB/s | ETA: 00s   
+[=============>        26.1%                       ] 575/2200 ms | 8.98/34.34 MB @ 51.58 MB/s | ETA: 00s   
+[=============>        27.3%                       ] 600/2200 ms | 9.37/34.34 MB @ 51.74 MB/s | ETA: 00s   
+[==============>       28.4%                       ] 625/2200 ms | 9.76/34.34 MB @ 51.62 MB/s | ETA: 00s   
+[==============>       29.5%                       ] 650/2200 ms | 10.15/34.34 MB @ 51.50 MB/s | ETA: 00s   
+[===============>      30.7%                       ] 675/2200 ms | 10.54/34.34 MB @ 51.65 MB/s | ETA: 00s   
+[===============>      31.8%                       ] 700/2200 ms | 10.93/34.34 MB @ 51.79 MB/s | ETA: 00s   
+[================>     33.0%                       ] 725/2200 ms | 11.32/34.34 MB @ 51.44 MB/s | ETA: 00s   
+[=================>    34.1%                       ] 750/2200 ms | 11.71/34.34 MB @ 51.35 MB/s | ETA: 00s   
+[=================>    35.2%                       ] 775/2200 ms | 12.10/34.34 MB @ 51.48 MB/s | ETA: 00s   
+[==================>   36.4%                       ] 800/2200 ms | 12.49/34.34 MB @ 51.39 MB/s | ETA: 00s   
+[==================>   37.5%                       ] 825/2200 ms | 12.88/34.34 MB @ 51.51 MB/s | ETA: 00s   
+[===================>  38.6%                       ] 850/2200 ms | 13.27/34.34 MB @ 51.43 MB/s | ETA: 00s   
+[===================>  39.8%                       ] 875/2200 ms | 13.66/34.34 MB @ 51.35 MB/s | ETA: 00s   
+[====================> 40.9%                       ] 900/2200 ms | 14.05/34.34 MB @ 51.27 MB/s | ETA: 00s   
+[=====================>42.0%                       ] 925/2200 ms | 14.44/34.34 MB @ 51.20 MB/s | ETA: 00s   
+[=====================>43.2%                       ] 950/2200 ms | 14.83/34.34 MB @ 51.14 MB/s | ETA: 00s   
+[======================44.3%                       ] 975/2200 ms | 15.22/34.34 MB @ 51.07 MB/s | ETA: 00s   
+[======================45.5%                       ] 1000/2200 ms | 15.61/34.34 MB @ 51.18 MB/s | ETA: 00s   
+[======================46.6%                       ] 1025/2200 ms | 16.00/34.34 MB @ 51.12 MB/s | ETA: 00s   
+[======================47.7%                       ] 1050/2200 ms | 16.39/34.34 MB @ 51.22 MB/s | ETA: 00s   
+[======================48.9%                       ] 1075/2200 ms | 16.78/34.34 MB @ 51.16 MB/s | ETA: 00s   
+[======================50.0%                       ] 1100/2200 ms | 17.17/34.34 MB @ 50.95 MB/s | ETA: 00s   
+[======================51.1%                       ] 1125/2200 ms | 17.56/34.34 MB @ 50.90 MB/s | ETA: 00s   
+[======================52.3%                       ] 1150/2200 ms | 17.95/34.34 MB @ 50.85 MB/s | ETA: 00s   
+[======================53.4%                       ] 1175/2200 ms | 18.34/34.34 MB @ 50.95 MB/s | ETA: 00s   
+[======================54.5%>                      ] 1200/2200 ms | 18.73/34.34 MB @ 50.90 MB/s | ETA: 00s   
+[======================55.7%>                      ] 1225/2200 ms | 19.12/34.34 MB @ 50.99 MB/s | ETA: 00s   
+[======================56.8%=>                     ] 1250/2200 ms | 19.51/34.34 MB @ 50.95 MB/s | ETA: 00s   
+[======================58.0%=>                     ] 1275/2200 ms | 19.90/34.34 MB @ 50.90 MB/s | ETA: 00s   
+[======================59.1%==>                    ] 1300/2200 ms | 20.29/34.34 MB @ 50.86 MB/s | ETA: 00s   
+[======================60.2%===>                   ] 1325/2200 ms | 20.68/34.34 MB @ 50.94 MB/s | ETA: 00s   
+[======================61.4%===>                   ] 1350/2200 ms | 21.07/34.34 MB @ 51.02 MB/s | ETA: 00s   
+[======================62.5%====>                  ] 1375/2200 ms | 21.46/34.34 MB @ 50.98 MB/s | ETA: 00s   
+[======================63.6%====>                  ] 1400/2200 ms | 21.85/34.34 MB @ 51.06 MB/s | ETA: 00s   
+[======================64.8%=====>                 ] 1425/2200 ms | 22.24/34.34 MB @ 51.14 MB/s | ETA: 00s   
+[======================65.9%=====>                 ] 1450/2200 ms | 22.63/34.34 MB @ 51.09 MB/s | ETA: 00s   
+[======================67.0%======>                ] 1475/2200 ms | 23.02/34.34 MB @ 51.17 MB/s | ETA: 00s   
+[======================68.2%=======>               ] 1500/2200 ms | 23.41/34.34 MB @ 51.12 MB/s | ETA: 00s   
+[======================69.3%=======>               ] 1525/2200 ms | 23.80/34.34 MB @ 51.19 MB/s | ETA: 00s   
+[======================70.5%========>              ] 1550/2200 ms | 24.20/34.34 MB @ 51.26 MB/s | ETA: 00s   
+[======================71.6%========>              ] 1575/2200 ms | 24.59/34.34 MB @ 51.22 MB/s | ETA: 00s   
+[======================72.7%=========>             ] 1600/2200 ms | 24.98/34.34 MB @ 51.28 MB/s | ETA: 00s   
+[======================73.9%=========>             ] 1625/2200 ms | 25.37/34.34 MB @ 51.24 MB/s | ETA: 00s   
+[======================75.0%==========>            ] 1650/2200 ms | 25.76/34.34 MB @ 51.31 MB/s | ETA: 00s   
+[======================76.1%===========>           ] 1675/2200 ms | 26.15/34.34 MB @ 51.27 MB/s | ETA: 00s   
+[======================77.3%===========>           ] 1700/2200 ms | 26.54/34.34 MB @ 51.33 MB/s | ETA: 00s   
+[======================78.4%============>          ] 1725/2200 ms | 26.93/34.34 MB @ 51.29 MB/s | ETA: 00s   
+[======================79.5%============>          ] 1750/2200 ms | 27.32/34.34 MB @ 51.35 MB/s | ETA: 00s   
+[======================80.7%=============>         ] 1775/2200 ms | 27.71/34.34 MB @ 51.31 MB/s | ETA: 00s   
+[======================81.8%=============>         ] 1800/2200 ms | 28.10/34.34 MB @ 51.37 MB/s | ETA: 00s   
+[======================83.0%==============>        ] 1825/2200 ms | 28.49/34.34 MB @ 51.33 MB/s | ETA: 00s   
+[======================84.1%===============>       ] 1850/2200 ms | 28.88/34.34 MB @ 51.38 MB/s | ETA: 00s   
+[======================85.2%===============>       ] 1875/2200 ms | 29.27/34.34 MB @ 51.35 MB/s | ETA: 00s   
+[======================86.4%================>      ] 1900/2200 ms | 29.66/34.34 MB @ 51.31 MB/s | ETA: 00s   
+[======================87.5%================>      ] 1925/2200 ms | 30.05/34.34 MB @ 51.19 MB/s | ETA: 00s   
+[======================88.6%=================>     ] 1950/2200 ms | 30.44/34.34 MB @ 51.24 MB/s | ETA: 00s   
+[======================89.8%=================>     ] 1975/2200 ms | 30.83/34.34 MB @ 51.30 MB/s | ETA: 00s   
+[======================90.9%==================>    ] 2000/2200 ms | 31.22/34.34 MB @ 51.18 MB/s | ETA: 00s   
+[======================92.0%===================>   ] 2025/2200 ms | 31.61/34.34 MB @ 51.23 MB/s | ETA: 00s   
+[======================93.2%===================>   ] 2050/2200 ms | 32.00/34.34 MB @ 51.12 MB/s | ETA: 00s   
+[======================94.3%====================>  ] 2075/2200 ms | 32.39/34.34 MB @ 51.09 MB/s | ETA: 00s   
+[======================95.5%====================>  ] 2100/2200 ms | 32.78/34.34 MB @ 50.98 MB/s | ETA: 00s   
+[======================96.6%=====================> ] 2125/2200 ms | 33.17/34.34 MB @ 50.95 MB/s | ETA: 00s   
+[======================97.7%=====================> ] 2150/2200 ms | 33.56/34.34 MB @ 51.00 MB/s | ETA: 00s   
+[======================98.9%======================>] 2175/2200 ms | 33.95/34.34 MB @ 50.90 MB/s | ETA: 00s   
+[======================100.0%======================] 2200/2200 ms | 34.34/34.34 MB @ 50.80 MB/s | ETA: --   
+[======================100.0%======================] 2200/2200 ms | 34.34/34.34 MB | 	COMPLETED
+
+[INFO]	IF Signal generation completed!
+------------------------------------------------------------------
+[INFO]	Total samples: 36009600
+[INFO]	Clipped samples: 10 (0.0000%)
+[INFO]	Final AGC gain: 1.000
+[INFO]	Total time taken: 0.68 s
+[INFO]	Data generated: 34.34 MB
+[INFO]	Average rate: 50.80 MB/s
+------------------------------------------------------------------
+
diff --git a/verification/vectors/signalsim/negative_doppler/metadata.yaml b/verification/vectors/signalsim/negative_doppler/metadata.yaml
new file mode 100644
index 0000000..a6543ce
--- /dev/null
+++ b/verification/vectors/signalsim/negative_doppler/metadata.yaml
@@ -0,0 +1,29 @@
+name: negative_doppler
+signalsim_path: /home/onur/Desktop/galileo/signalsim/SignalSim
+signalsim_commit: 80b262113e77c4482ca9f5cbfef9bcada402ed28
+command:
+- /home/onur/Desktop/galileo/build/signalsim/IFdataGen
+- -c
+- /home/onur/Desktop/galileo/verification/vectors/signalsim/negative_doppler/generated_config.json
+- -o
+- /home/onur/Desktop/galileo/verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin
+- -t
+- -st
+output: verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin
+size_bytes: 36009600
+sha256: b17d2d1f180122041b2688f9a8b1facfc73ab99b521187908c88450d65ddc1ad
+complex_sample_count: 18004800
+sampling_frequency_hz: 8184000.0
+intermediate_frequency_hz: 2046000.0
+sample_format: IQ8_interleaved_signed_I_then_Q
+duration_s: 2.2
+prns:
+- 27
+components:
+- E1B
+- E1C
+expected_doppler_hz:
+  27: -2637.0
+expected_code_delay: null
+navigation_truth: INavBit generated from bundled RINEX; no sample-side truth file
+secondary_truth: PilotBit.cpp SecondaryCodeE1, phase must be synchronized
diff --git a/verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin.tag b/verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin.tag
new file mode 100644
index 0000000..c9bc476
--- /dev/null
+++ b/verification/vectors/signalsim/negative_doppler/negative_doppler_iq8.bin.tag
@@ -0,0 +1,8 @@
+PROG = IFDataGen
+TIME = 2026/07/30 20:17:48.609
+FMT  = INT8X2
+F_S  = 8.184000
+F_LO = 1573.374000
+IQ   = 1
+BITS = 8
+SCALE = 1.0
diff --git a/verification/vectors/signalsim/nominal_cn0_single_prn/generated_config.json b/verification/vectors/signalsim/nominal_cn0_single_prn/generated_config.json
new file mode 100644
index 0000000..e48b82e
--- /dev/null
+++ b/verification/vectors/signalsim/nominal_cn0_single_prn/generated_config.json
@@ -0,0 +1,120 @@
+{
+  "version": 1.0,
+  "description": "SignalSim validation vector: nominal_cn0_single_prn",
+  "time": {
+    "type": "UTC",
+    "year": 2021,
+    "month": 6,
+    "day": 19,
+    "hour": 10,
+    "minute": 5,
+    "second": 30
+  },
+  "trajectory": {
+    "name": "static single-PRN integration baseline",
+    "initPosition": {
+      "type": "LLA",
+      "format": "d",
+      "longitude": -121.915773,
+      "latitude": 37.352721,
+      "altitude": 20
+    },
+    "initVelocity": {
+      "type": "SCU",
+      "speed": 0,
+      "course": 0
+    },
+    "trajectoryList": [
+      {
+        "type": "Const",
+        "time": 0.6
+      }
+    ]
+  },
+  "ephemeris": {
+    "type": "RINEX",
+    "name": "/home/onur/Desktop/galileo/signalsim/SignalSim/EphData/BRDC00IGS_R_20211700000_01D_MN.rnx"
+  },
+  "output": {
+    "type": "IFdata",
+    "format": "IQ8",
+    "sampleFreq": 8.184,
+    "centerFreq": 1573.374,
+    "name": "nominal_cn0_single_prn_iq8.bin",
+    "config": {
+      "elevationMask": 3,
+      "maskOut": [
+        {
+          "system": "Galileo",
+          "svid": [
+            2,
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36
+          ]
+        }
+      ]
+    },
+    "systemSelect": [
+      {
+        "system": "GPS",
+        "signal": "L1CA",
+        "enable": false
+      },
+      {
+        "system": "BDS",
+        "signal": "B1C",
+        "enable": false
+      },
+      {
+        "system": "Galileo",
+        "signal": "E1",
+        "enable": true
+      },
+      {
+        "system": "GLONASS",
+        "signal": "G1",
+        "enable": false
+      }
+    ]
+  },
+  "power": {
+    "noiseFloor": -172,
+    "initPower": {
+      "unit": "dBHz",
+      "value": 50.0
+    },
+    "elevationAdjust": false
+  }
+}
diff --git a/verification/vectors/signalsim/nominal_cn0_single_prn/generation.log b/verification/vectors/signalsim/nominal_cn0_single_prn/generation.log
new file mode 100644
index 0000000..a77295e
--- /dev/null
+++ b/verification/vectors/signalsim/nominal_cn0_single_prn/generation.log
@@ -0,0 +1,80 @@
+
+================================================================================
+                          IF SIGNAL GENERATION 
+================================================================================
+[INFO]	Loading JSON file: /home/onur/Desktop/galileo/verification/vectors/signalsim/nominal_cn0_single_prn/generated_config.json
+[INFO]	JSON file read successfully: /home/onur/Desktop/galileo/verification/vectors/signalsim/nominal_cn0_single_prn/generated_config.json
+[INFO]	Using output file from command line: /home/onur/Desktop/galileo/verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin
+[INFO]	Opening output file: /home/onur/Desktop/galileo/verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin
+[INFO]	Output file opened successfully.
+[INFO]	Creating tag file: /home/onur/Desktop/galileo/verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin.tag
+[INFO]	Tag file created: /home/onur/Desktop/galileo/verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin.tag
+[INFO]	OpenMP configured for SERIAL execution (1 thread)
+[INFO]	Generating IF data with following satellite signals:
+
+[INFO]	Enabled Signals:
+	GAL : [ E1 ]
+
+Signals Summary Table:
++---------------+-------------+--------------+------------------------------+
+| Constellation | Visible SVs | Signals / SV | Total Signals / Visible SVs  |
++---------------+-------------+--------------+------------------------------+
+| GPS           | 0           | 0            | 0                            |
+| BeiDou        | 0           | 0            | 0                            |
+| Galileo       | 1           | 1            | 1                            |
+| GLONASS       | 0           | 0            | 0                            |
++---------------+-------------+--------------+------------------------------+
+Total Visible SVs = 1, Total channels = 1
+
+Galileo E1 with IF +2046kHz:
++----+--------------+----+--------------+----+--------------+----+--------------+
+| SV | Doppler (Hz) | SV | Doppler (Hz) | SV | Doppler (Hz) | SV | Doppler (Hz) |
++----+--------------+----+--------------+----+--------------+----+--------------+
+| 01 |        +1828 |    |              |    |              |    |              |
++----+--------------+----+--------------+----+--------------+----+--------------+
+
+Total channels: 1
+
+[INFO]	Signal Duration: 0.60 s
+[INFO]	Signal Size: 9.37 MB
+[INFO]	Signal Data format: IQ8
+[INFO]	Signal Center freq: 1573.3740 MHz
+[INFO]	Signal Sample rate: 8.1840 MHz
+
+[INFO]	Starting signal generation loop...
+
+[==>                    4.2%                       ] 25/600 ms | 0.39/9.37 MB @ 55.75 MB/s | ETA: 00s   
+[====>                  8.3%                       ] 50/600 ms | 0.78/9.37 MB @ 52.03 MB/s | ETA: 00s   
+[======>               12.5%                       ] 75/600 ms | 1.17/9.37 MB @ 53.22 MB/s | ETA: 00s   
+[========>             16.7%                       ] 100/600 ms | 1.56/9.37 MB @ 52.03 MB/s | ETA: 00s   
+[==========>           20.8%                       ] 125/600 ms | 1.95/9.37 MB @ 51.35 MB/s | ETA: 00s   
+[============>         25.0%                       ] 150/600 ms | 2.34/9.37 MB @ 49.82 MB/s | ETA: 00s   
+[==============>       29.2%                       ] 175/600 ms | 2.73/9.37 MB @ 50.59 MB/s | ETA: 00s   
+[================>     33.3%                       ] 200/600 ms | 3.12/9.37 MB @ 51.18 MB/s | ETA: 00s   
+[==================>   37.5%                       ] 225/600 ms | 3.51/9.37 MB @ 50.90 MB/s | ETA: 00s   
+[====================> 41.7%                       ] 250/600 ms | 3.90/9.37 MB @ 50.68 MB/s | ETA: 00s   
+[======================45.8%                       ] 275/600 ms | 4.29/9.37 MB @ 50.50 MB/s | ETA: 00s   
+[======================50.0%                       ] 300/600 ms | 4.68/9.37 MB @ 50.35 MB/s | ETA: 00s   
+[======================54.2%>                      ] 325/600 ms | 5.07/9.37 MB @ 50.73 MB/s | ETA: 00s   
+[======================58.3%==>                    ] 350/600 ms | 5.46/9.37 MB @ 50.12 MB/s | ETA: 00s   
+[======================62.5%====>                  ] 375/600 ms | 5.85/9.37 MB @ 49.61 MB/s | ETA: 00s   
+[======================66.7%======>                ] 400/600 ms | 6.24/9.37 MB @ 49.55 MB/s | ETA: 00s   
+[======================70.8%========>              ] 425/600 ms | 6.63/9.37 MB @ 49.51 MB/s | ETA: 00s   
+[======================75.0%==========>            ] 450/600 ms | 7.02/9.37 MB @ 49.12 MB/s | ETA: 00s   
+[======================79.2%============>          ] 475/600 ms | 7.41/9.37 MB @ 49.10 MB/s | ETA: 00s   
+[======================83.3%==============>        ] 500/600 ms | 7.80/9.37 MB @ 49.09 MB/s | ETA: 00s   
+[======================87.5%================>      ] 525/600 ms | 8.20/9.37 MB @ 48.78 MB/s | ETA: 00s   
+[======================91.7%==================>    ] 550/600 ms | 8.59/9.37 MB @ 48.50 MB/s | ETA: 00s   
+[======================95.8%====================>  ] 575/600 ms | 8.98/9.37 MB @ 48.52 MB/s | ETA: 00s   
+[======================100.0%======================] 600/600 ms | 9.37/9.37 MB | 	COMPLETED
+
+[INFO]	IF Signal generation completed!
+------------------------------------------------------------------
+[INFO]	Total samples: 9804432
+[INFO]	Clipped samples: 1 (0.0000%)
+[INFO]	Final AGC gain: 1.000
+[INFO]	Total time taken: 0.19 s
+[INFO]	Data generated: 9.35 MB
+[INFO]	Average rate: 48.45 MB/s
+------------------------------------------------------------------
+
diff --git a/verification/vectors/signalsim/nominal_cn0_single_prn/metadata.yaml b/verification/vectors/signalsim/nominal_cn0_single_prn/metadata.yaml
new file mode 100644
index 0000000..48aeeee
--- /dev/null
+++ b/verification/vectors/signalsim/nominal_cn0_single_prn/metadata.yaml
@@ -0,0 +1,29 @@
+name: nominal_cn0_single_prn
+signalsim_path: /home/onur/Desktop/galileo/signalsim/SignalSim
+signalsim_commit: 80b262113e77c4482ca9f5cbfef9bcada402ed28
+command:
+- /home/onur/Desktop/galileo/build/signalsim/IFdataGen
+- -c
+- /home/onur/Desktop/galileo/verification/vectors/signalsim/nominal_cn0_single_prn/generated_config.json
+- -o
+- /home/onur/Desktop/galileo/verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin
+- -t
+- -st
+output: verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin
+size_bytes: 9804432
+sha256: ffbcb2cfedc6142ca3064514b4d2c10045abf0221462996a5fc10a49213bf88e
+complex_sample_count: 4902216
+sampling_frequency_hz: 8184000.0
+intermediate_frequency_hz: 2046000.0
+sample_format: IQ8_interleaved_signed_I_then_Q
+duration_s: 0.6
+prns:
+- 1
+components:
+- E1B
+- E1C
+expected_doppler_hz:
+  1: 1828.0
+expected_code_delay: null
+navigation_truth: INavBit generated from bundled RINEX; no sample-side truth file
+secondary_truth: PilotBit.cpp SecondaryCodeE1, phase must be synchronized
diff --git a/verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin.tag b/verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin.tag
new file mode 100644
index 0000000..2e6082f
--- /dev/null
+++ b/verification/vectors/signalsim/nominal_cn0_single_prn/nominal_cn0_single_prn_iq8.bin.tag
@@ -0,0 +1,8 @@
+PROG = IFDataGen
+TIME = 2026/07/30 20:17:06.376
+FMT  = INT8X2
+F_S  = 8.184000
+F_LO = 1573.374000
+IQ   = 1
+BITS = 8
+SCALE = 1.0