Implement Galileo E1B I/NAV navigation decoding

This commit is contained in:
2026-07-31 00:15:34 +03:00
parent 2a6ccfc23d
commit 814a788b36
104 changed files with 6351 additions and 10 deletions
+5
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@@ -11,6 +11,11 @@ build/
*.hex
e1_synthetic.c128
# Compact, decoder-only navigation evidence is intentionally versioned. The
# much larger RF sample vectors remain ignored by the generic *.bin rule.
!verification/navigation/**/*.bin
!verification/navigation/**/*.npz
# External simulator checkout discovered locally; rebuild/integration scripts
# consume it by path, but it is maintained as a separate Git repository.
/signalsim/
+28
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@@ -37,6 +37,8 @@ complex IQ; both acquisition and tracking pass on its IQ8 output. See the
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.
- E1B I/NAV word types 1–6 are decoded from tracked RF prompts. Almanac parsing,
OSNMA authentication, and PVT are deliberately not implemented yet.
## Install and test
@@ -63,6 +65,10 @@ python -m galileo_rx.cli track --config configs/tracking_example.yaml --input sa
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
python -m galileo_rx.cli collect-navigation --config configs/navigation_collection.yaml --output-dir reports/navigation_run
python -m galileo_rx.cli prompts-to-symbols --input verification/navigation/signalsim_navigation_multisat/prn_01/prompt_epochs.npz --prn 1 --output-dir reports/navigation_replay/prn_01
python -m galileo_rx.cli decode-inav --input verification/navigation/signalsim_navigation_multisat/prn_01/prompt_epochs.npz --prn 1 --output-dir reports/navigation_replay/prn_01
python -m galileo_rx.cli inspect-navigation --input verification/navigation/signalsim_navigation_multisat/prn_01
```
The CLI uses synthetic codes by design. Replace the provider with
@@ -113,6 +119,28 @@ module-level contract is duplicated close to the code in
Exact phase-gate test and example commands are recorded in
[development_phases.md](docs/development_phases.md).
## E1B navigation decoding
The I/NAV pipeline preserves 4 ms Prompt I/Q epochs and their sample timestamps,
recovers confidence-bearing symbols, resolves page polarity explicitly, applies
the official 30×8 deinterleaver and soft Viterbi decoder, validates CRC-24Q, and
parses typed word 1–6 data. Ephemerides are committed atomically only when words
1–4 have matching IODnav; the previous valid set survives incomplete updates.
The measured 32.2 s SignalSim regression decoded 70/70 CRC-valid pages. Four of
five tracked satellites produced complete ephemerides, clocks, healthy status,
and GST; PRN 19 correctly remained incomplete because word 1 was outside the
observation. Post-decode comparison against SignalSim's RINEX source passed at
the broadcast quantization resolution. No simulator truth is accepted by the
normal decoder API.
See [ICD mapping](docs/inav_icd_mapping.md), the
[hardware/software partition](docs/navigation_hardware_software_partition.md),
the [collection report](reports/navigation_run/inav_collection_report.md), and
the [readiness gate](reports/navigation_readiness_review.md). Saved artifacts
under `verification/navigation/` can replay navigation decoding without RF
acquisition or tracking.
## Phase completion record
1. Profiles, typed configuration, code providers, BOC, generator, and I/O.
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@@ -0,0 +1,44 @@
signalsim:
path: signalsim/SignalSim
vector: navigation_multisat
samples: verification/vectors/signalsim/navigation_multisat/navigation_multisat_iq8.bin
sample_format: IQ8
rf:
sampling_frequency_hz: 4092000.0
intermediate_frequency_hz: 1023000.0
satellites:
prns: [1, 4, 19, 21, 27]
expected_doppler_hz:
1: 1828.0
4: 2171.0
19: -367.0
21: -712.0
27: -2637.0
acquisition:
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
tracking:
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
minimum_confidence: 0.1
navigation:
icd: Galileo OS SIS ICD Issue 2.2, November 2025
minimum_satellites: 4
page_sync_confirmations: 2
maximum_sync_errors: 0
viterbi_traceback_depth: 35
require_time: true
require_healthy: true
+17
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@@ -48,3 +48,20 @@ python -m galileo_rx.cli track --config configs/tracking_example.yaml --input sa
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
```
## E1B I/NAV pre-PVT gate
```bash
python tools/generate_signalsim_vectors.py --signalsim-path signalsim/SignalSim --vector navigation_multisat --project-root .
python -m galileo_rx.cli collect-navigation --config configs/navigation_collection.yaml --output-dir reports/navigation_run --require-ready
python -m galileo_rx.cli prompts-to-symbols --input verification/navigation/signalsim_navigation_multisat/prn_01/prompt_epochs.npz --prn 1 --output-dir reports/navigation_replay/prn_01
python -m galileo_rx.cli decode-inav --input verification/navigation/signalsim_navigation_multisat/prn_01/prompt_epochs.npz --prn 1 --output-dir reports/navigation_replay/prn_01
python -m galileo_rx.cli inspect-navigation --input reports/navigation_replay/prn_01
python -m galileo_rx.cli compare-inav-truth --artifact-root verification/navigation/signalsim_navigation_multisat --rinex signalsim/SignalSim/EphData/BRDC00IGS_R_20211700000_01D_MN.rnx --collection-report reports/navigation_run/inav_collection_report.json --signalsim-config verification/vectors/signalsim/navigation_multisat/generated_config.json --output-dir reports
MPLBACKEND=Agg python -m pytest tests/navigation tests/integration/test_signalsim_inav_symbols.py tests/integration/test_signalsim_inav_pages.py tests/integration/test_signalsim_inav_ephemeris.py tests/integration/test_multisat_navigation_collection.py
MPLBACKEND=Agg python -m pytest
```
The RF `.bin` vector is regenerated locally and remains ignored; its committed
configuration, metadata, SHA-256 tag, log, and compact prompt-to-ephemeris
artifacts make the gate reproducible without checking in hundreds of megabytes.
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@@ -0,0 +1,90 @@
# Galileo I/NAV ICD source mapping
The sole normative source for this decoder is **European Union, Galileo Open
Service Signal-in-Space Interface Control Document, Issue 2.2, November 2025**.
The implementation does not infer layouts from SignalSim. SignalSim is an RF
stimulus and an independent post-decode truth source only.
Bit positions below are zero-based, MSB-first positions in the reconstructed
128-bit nominal I/NAV word. ICD table positions are one-based on-air order.
Signed values use two's complement. A scale written `2^-n*pi` converts an ICD
semi-circle value to radians.
## Channel coding and page construction
| Implementation | ICD reference | Implemented definition |
| --- | --- | --- |
| E1-B symbol rate | §3.4.2 and Table 3 | 250 symbols/s; one symbol spans one 4 ms primary-code epoch |
| Page-part layout | §4.3.2 and Table 37 | 10 uncoded sync symbols followed by 240 interleaved FEC symbols; one second total |
| Synchronization | §4.3.2.1 | `0101100000`; repeated boundaries 250 symbols apart are required |
| Nominal page | §4.3.2.3 and Table 38 | Sequential even/odd one-second page parts form one 2-second vertical E1-B page |
| Tail | §4.3.2.2 and Table 38 | Six zero tail bits terminate each 120-bit page part |
| Convolutional FEC | §4.1.4.1, Figure 13, Table 26 | Rate 1/2, K=7, G1=171 octal, G2=133 octal, second encoder output inverted |
| Interleaver | §4.1.4.2 and Table 27 | 30 columns × 8 rows; write by column and read by row; decoder applies the reverse permutation |
| Independent coded vector | Annex D.2 | Exact ICD I/NAV encoded and interleaved page-part vector is used by unit tests |
| CRC | §5.1.9.4, Equations 25–26 | 24-bit CRC, generator `0x1864CFB`, zero initial remainder, MSB-first protected bits |
| CRC coverage | §4.3.2.3 and Table 38 | Even/odd, page type, both data parts, OSNMA, SAR and spare; sync, SSP and tails excluded |
`InavPageDecoder` reconstructs the 128-bit data word from even bits 2–113 and
odd bits 2–17. CRC is evaluated over even bits 0–113 and odd bits 0–81, against
odd bits 82–105, exactly matching the E1-B vertical-page allocation in Table 38.
## Critical word layouts and scales
| Word | Field | Word bit range | Width | Signed | Scale | Unit | ICD allocation | ICD definition |
| ---: | --- | ---: | ---: | :---: | ---: | --- | --- | --- |
| 1 | Type | 0–5 | 6 | No | 1 | — | Table 42 | §4.3.5 |
| 1 | IODnav | 6–15 | 10 | No | 1 | — | Table 42 | §5.1.8.1 |
| 1 | t0e | 16–29 | 14 | No | 60 | s | Table 42 | Table 67 |
| 1 | M0 | 30–61 | 32 | Yes | 2^-31*pi | rad | Table 42 | Table 67 |
| 1 | e | 62–93 | 32 | No | 2^-33 | — | Table 42 | Table 67 |
| 1 | sqrt(A) | 94–125 | 32 | No | 2^-19 | m^1/2 | Table 42 | Table 67 |
| 2 | IODnav | 6–15 | 10 | No | 1 | — | Table 43 | §5.1.8.1 |
| 2 | Omega0 | 16–47 | 32 | Yes | 2^-31*pi | rad | Table 43 | Table 67 |
| 2 | i0 | 48–79 | 32 | Yes | 2^-31*pi | rad | Table 43 | Table 67 |
| 2 | omega | 80–111 | 32 | Yes | 2^-31*pi | rad | Table 43 | Table 67 |
| 2 | i-dot | 112–125 | 14 | Yes | 2^-43*pi | rad/s | Table 43 | Table 67 |
| 3 | IODnav | 6–15 | 10 | No | 1 | — | Table 44 | §5.1.8.1 |
| 3 | Omega-dot | 16–39 | 24 | Yes | 2^-43*pi | rad/s | Table 44 | Table 67 |
| 3 | Delta-n | 40–55 | 16 | Yes | 2^-43*pi | rad/s | Table 44 | Table 67 |
| 3 | Cuc | 56–71 | 16 | Yes | 2^-29 | rad | Table 44 | Table 67 |
| 3 | Cus | 72–87 | 16 | Yes | 2^-29 | rad | Table 44 | Table 67 |
| 3 | Crc | 88–103 | 16 | Yes | 2^-5 | m | Table 44 | Table 67 |
| 3 | Crs | 104–119 | 16 | Yes | 2^-5 | m | Table 44 | Table 67 |
| 3 | SISA(E1,E5b) | 120–127 | 8 | No | index | — | Table 44 | §5.1.11.1 |
| 4 | IODnav | 6–15 | 10 | No | 1 | — | Table 45 | §5.1.8.1 |
| 4 | SVID | 16–21 | 6 | No | 1 | — | Table 45 | §5.1.8.2 |
| 4 | Cic | 22–37 | 16 | Yes | 2^-29 | rad | Table 45 | Table 67 |
| 4 | Cis | 38–53 | 16 | Yes | 2^-29 | rad | Table 45 | Table 67 |
| 4 | t0c | 54–67 | 14 | No | 60 | s | Table 45 | Table 70 |
| 4 | af0 | 68–98 | 31 | Yes | 2^-34 | s | Table 45 | Table 70 |
| 4 | af1 | 99–119 | 21 | Yes | 2^-46 | s/s | Table 45 | Table 70 |
| 4 | af2 | 120–125 | 6 | Yes | 2^-59 | s/s^2 | Table 45 | Table 70 |
| 5 | ai0 | 6–16 | 11 | No | 2^-2 | sfu | Table 46 | Table 74 |
| 5 | ai1 | 17–27 | 11 | Yes | 2^-8 | sfu/degree | Table 46 | Table 74 |
| 5 | ai2 | 28–41 | 14 | Yes | 2^-15 | sfu/degree^2 | Table 46 | Table 74 |
| 5 | Disturbance flags 1–5 | 42–46 | 5 | No | Boolean | — | Table 46 | Table 74 |
| 5 | BGD(E1,E5a) | 47–56 | 10 | Yes | 2^-32 | s | Table 46 | Table 72 |
| 5 | BGD(E1,E5b) | 57–66 | 10 | Yes | 2^-32 | s | Table 46 | Table 72 |
| 5 | E5b/E1B health | 67–70 | 2+2 | No | status | — | Table 46 | Table 84 |
| 5 | E5b/E1B DVS | 71–72 | 1+1 | No | status | — | Table 46 | §5.1.10 |
| 5 | GST week | 73–84 | 12 | No | 1 | week | Table 46 | Table 69 |
| 5 | GST TOW | 85–104 | 20 | No | 1 | s | Table 46 | Table 69 |
| 6 | A0 | 6–37 | 32 | Yes | 2^-30 | s | Table 47 | Table 75 |
| 6 | A1 | 38–61 | 24 | Yes | 2^-50 | s/s | Table 47 | Table 75 |
| 6 | Delta-tLS | 62–69 | 8 | Yes | 1 | s | Table 47 | Table 75 |
| 6 | t0t | 70–77 | 8 | No | 3600 | s | Table 47 | Table 75 |
| 6 | WN0t | 78–85 | 8 | No | 1 | week modulo 256 | Table 47 | Table 75 |
| 6 | WNLSF | 86–93 | 8 | No | 1 | week modulo 256 | Table 47 | Table 75 |
| 6 | DN | 94–96 | 3 | No | 1 | day | Table 47 | Table 75 |
| 6 | Delta-tLSF | 97–104 | 8 | Yes | 1 | s | Table 47 | Table 75 |
| 6 | TOW | 105–124 | 20 | No | 1 | s | Table 47 | Table 69 |
## Implemented support boundary
Word types 1–6 are parsed into typed dataclasses. They provide the complete
four-word ephemeris, satellite clock polynomial, BGD, E1B health/DVS, GST,
ionosphere coefficients and GST–UTC parameters required by the pre-PVT gate.
Almanac words and OSNMA authentication are intentionally outside this milestone.
Unsupported word types remain preserved as CRC-valid raw page evidence and do
not update the active navigation database.
@@ -0,0 +1,57 @@
# Navigation hardware/software partition
The measured partition keeps sample-rate work in the tracking IP and performs
I/NAV decoding in software. No result in this milestone justifies placing a
soft-decision Viterbi decoder or navigation database in RTL.
## Tracking-IP output contract
One record is emitted for every 4 ms E1B primary-code epoch:
| Field | Proposed representation | Meaning |
| --- | --- | --- |
| PRN/channel | unsigned integer | Logical satellite and component |
| start/end timestamp | 64-bit sample counters | Continuous receiver time association |
| Prompt I/Q | signed fixed-point accumulators | Unreduced coherent evidence |
| carrier phase/frequency | NCO state/measurement words | Reprocessing and phase diagnostics |
| code phase | unsigned fixed-point chips | Code-time association |
| C/N0 | fixed-point dB-Hz or invalid | Monitoring only |
| carrier/code lock | bits | Decoder validity gate |
| cycle slip/discontinuity | bits | Immediate symbol/page synchronizer reset |
| valid | bit | Transaction validity |
The interface should use an AXI-Stream-like `valid/ready` transaction. A FIFO
must absorb software service latency; backpressure cannot be allowed to stop the
sample-rate tracking datapath. At 250 records/s/channel, even 36 active E1B
channels produce only 9000 records/s, so a memory-mapped DMA ring is sufficient.
## Software decoder
Software retains floating `numpy.float64` prompt/soft values in the reference
model and performs:
```text
prompt axis and symbol synchronization
-> page synchronization and polarity resolution
-> 30x8 deinterleaving
-> soft Viterbi decode
-> vertical-page assembly and CRC-24Q
-> typed word parsing
-> atomic IODnav ephemeris assembly
-> GST/clock/health navigation database
```
This split keeps policy-rich, low-rate state machines inspectable and updateable.
The saved `prompt_epochs.npz` files are the exact boundary between future RTL
tracking and the software decoder. HDL verification shall replay the same RF
vector, compare each tracking epoch with the bit-true model, then feed the RTL
prompt records into this decoder without SignalSim truth.
## Conditions that could justify later hardware offload
Only measured CPU load, power, or startup-latency failure should trigger an
offload study. Plausible granular offloads are symbol accumulate-and-dump,
deinterleaver address generation, or a shared Viterbi accelerator. CRC, word
parsing, ephemeris consistency, time rollover handling, and the navigation store
remain better software candidates because their throughput is negligible and
their standards/policy behavior is state-rich.
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{
"decoder_truth_inputs": [],
"icd": "Galileo OS SIS ICD Issue 2.2, November 2025",
"signalsim_commit": "80b262113e77c4482ca9f5cbfef9bcada402ed28",
"sample_file": "/home/onur/Desktop/galileo/verification/vectors/signalsim/navigation_multisat/navigation_multisat_iq8.bin",
"sample_sha256": "b38393b32eec2df53f9813ea7ff8f13e5e0fc72fa5cb7fb910a2b8f907a56a6e",
"sample_count": 131758308,
"sampling_frequency_hz": 4092000.0,
"intermediate_frequency_hz": 1023000.0,
"satellites": {
"1": {
"prn": 1,
"acquisition_detected": true,
"acquisition_time_s": 0.1004119270000956,
"raw_doppler_hz": 1750.0,
"expected_doppler_hz": 1828.0,
"start_sample_timestamp": 90995,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.650105177999649,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 10,
"tracking_lock_timestamp": 107363,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 4428515,
"first_page_sync_timestamp": 4428515,
"first_crc_valid_page_timestamp": 4428515,
"page_parts": 31,
"pages": 15,
"crc_passes": 15,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61716515,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.260811995001859
},
"4": {
"prn": 4,
"acquisition_detected": true,
"acquisition_time_s": 0.08580062900000485,
"raw_doppler_hz": 2250.0,
"expected_doppler_hz": 2171.0,
"start_sample_timestamp": 86819,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.877967087995785,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 61,
"tracking_lock_timestamp": 103187,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12624707,
"first_page_sync_timestamp": 12624707,
"first_crc_valid_page_timestamp": 12624707,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 30,
"first_complete_ephemeris_timestamp": 61728707,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.3411525530027575
},
"19": {
"prn": 19,
"acquisition_detected": true,
"acquisition_time_s": 0.0836479790013982,
"raw_doppler_hz": -250.0,
"expected_doppler_hz": -367.0,
"start_sample_timestamp": 87566,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.9836710640011,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 406,
"tracking_lock_timestamp": 103934,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 16684718,
"first_page_sync_timestamp": 16684718,
"first_crc_valid_page_timestamp": 20776718,
"page_parts": 28,
"pages": 13,
"crc_passes": 13,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [
1
],
"complete_ephemeris": false,
"ephemeris_iod_nav": null,
"first_complete_ephemeris_timestamp": null,
"clock_parameters": true,
"health_valid": false,
"data_valid": false,
"decoding_time_s": 1.2081766550036264
},
"21": {
"prn": 21,
"acquisition_detected": true,
"acquisition_time_s": 0.08741291100159287,
"raw_doppler_hz": -750.0,
"expected_doppler_hz": -712.0,
"start_sample_timestamp": 93628,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.982213923998643,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 259,
"tracking_lock_timestamp": 101812,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12598780,
"first_page_sync_timestamp": 12598780,
"first_crc_valid_page_timestamp": 12598780,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61702780,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.231179278001946
},
"27": {
"prn": 27,
"acquisition_detected": true,
"acquisition_time_s": 0.08157938700605882,
"raw_doppler_hz": -2750.0,
"expected_doppler_hz": -2637.0,
"start_sample_timestamp": 88014,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.978430488001322,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 0,
"tracking_lock_timestamp": 96198,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12642270,
"first_page_sync_timestamp": 12642270,
"first_crc_valid_page_timestamp": 12642270,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61746270,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.2002744679994066
}
},
"galileo_time": {
"week_number": 1138,
"time_of_week_s": 554765,
"page_start_sample_timestamp": 69930270,
"source_word_type": 6,
"valid": true
},
"navigation_ready": true
}
+11
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@@ -0,0 +1,11 @@
# Galileo I/NAV collection report
The standalone decoder consumed tracked E1B prompts only; simulator ephemeris and time truth were not inputs.
| PRN | Tracking | Symbol sync | Page sync | CRC pages | Complete ephemeris | Clock | Time | Ready |
| --: | -------: | ----------: | --------: | --------: | -----------------: | ----: | ---: | ----: |
| 1 | PLL_TRACK | True | 31 | 15 | True | True | True | True |
| 4 | PLL_TRACK | True | 29 | 14 | True | True | True | True |
| 19 | PLL_TRACK | True | 28 | 13 | False | True | True | False |
| 21 | PLL_TRACK | True | 29 | 14 | True | True | True | True |
| 27 | PLL_TRACK | True | 29 | 14 | True | True | True | True |
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@@ -0,0 +1,747 @@
{
"comparison_stage": "post_decode_only",
"truth_injected_into_decoder": false,
"rinex_source": "/home/onur/Desktop/galileo/signalsim/SignalSim/EphData/BRDC00IGS_R_20211700000_01D_MN.rnx",
"satellites": {
"1": {
"rinex_epoch": "2021 06 19 10 10 00",
"fields": {
"toe_s": {
"decoded_raw_integer": 9250,
"decoded_scaled_value": 555000.0,
"simulator_truth_value": 555000.0,
"absolute_error": 0.0,
"expected_quantization_step": 60.0,
"pass": true
},
"toc_s": {
"decoded_raw_integer": 9250,
"decoded_scaled_value": 555000.0,
"simulator_truth_value": 555000.0,
"absolute_error": 0.0,
"expected_quantization_step": 60.0,
"pass": true
},
"mean_anomaly_rad": {
"decoded_raw_integer": 1205435370,
"decoded_scaled_value": 1.763453196161098,
"simulator_truth_value": 1.763453196161,
"absolute_error": 9.792167077193881e-14,
"expected_quantization_step": 1.4629180792671596e-09,
"pass": true
},
"eccentricity": {
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"simulator_truth_value": 3.316566719745e-09,
"absolute_error": 1.6502253220432902e-22,
"expected_quantization_step": 3.571577341960839e-13,
"pass": true
},
"cuc_rad": {
"decoded_raw_integer": 2485,
"decoded_scaled_value": 4.628673195838928e-06,
"simulator_truth_value": 4.628673195839e-06,
"absolute_error": 7.199780051661553e-20,
"expected_quantization_step": 1.862645149230957e-09,
"pass": true
},
"cus_rad": {
"decoded_raw_integer": 2415,
"decoded_scaled_value": 4.498288035392761e-06,
"simulator_truth_value": 4.498288035393e-06,
"absolute_error": 2.388632911257127e-19,
"expected_quantization_step": 1.862645149230957e-09,
"pass": true
},
"crc_m": {
"decoded_raw_integer": 8032,
"decoded_scaled_value": 251.0,
"simulator_truth_value": 251.0,
"absolute_error": 0.0,
"expected_quantization_step": 0.03125,
"pass": true
},
"crs_m": {
"decoded_raw_integer": 3123,
"decoded_scaled_value": 97.59375,
"simulator_truth_value": 97.59375,
"absolute_error": 0.0,
"expected_quantization_step": 0.03125,
"pass": true
},
"cic_rad": {
"decoded_raw_integer": -27,
"decoded_scaled_value": -5.029141902923584e-08,
"simulator_truth_value": -5.029141902924e-08,
"absolute_error": 4.162372842366835e-21,
"expected_quantization_step": 1.862645149230957e-09,
"pass": true
},
"cis_rad": {
"decoded_raw_integer": 66,
"decoded_scaled_value": 1.2293457984924316e-07,
"simulator_truth_value": 1.229345798492e-07,
"absolute_error": 4.317221053036762e-20,
"expected_quantization_step": 1.862645149230957e-09,
"pass": true
},
"clock_bias_s": {
"decoded_raw_integer": -988889,
"decoded_scaled_value": -5.756091559305787e-05,
"simulator_truth_value": -5.756091559306e-05,
"absolute_error": 2.1277467635028025e-18,
"expected_quantization_step": 5.820766091346741e-11,
"pass": true
},
"clock_drift_s_per_s": {
"decoded_raw_integer": -581,
"decoded_scaled_value": -8.256506589532364e-12,
"simulator_truth_value": -8.256506589532e-12,
"absolute_error": 3.6350710512584224e-25,
"expected_quantization_step": 1.4210854715202004e-14,
"pass": true
},
"clock_drift_rate_s_per_s2": {
"decoded_raw_integer": 0,
"decoded_scaled_value": 0.0,
"simulator_truth_value": 0.0,
"absolute_error": 0.0,
"expected_quantization_step": 1.734723475976807e-18,
"pass": true
},
"iod_nav": {
"decoded_raw_integer": 29,
"decoded_scaled_value": 29,
"simulator_truth_value": 29,
"absolute_error": 0,
"expected_quantization_step": 1,
"pass": true
},
"health": {
"decoded_raw_integer": 0,
"decoded_scaled_value": true,
"simulator_truth_value": 0,
"absolute_error": 0,
"expected_quantization_step": 1,
"pass": true
}
},
"pass": true
}
},
"galileo_time": {
"decoded_week_number": 1138,
"simulator_truth_week_number": 1138,
"week_absolute_error": 0,
"decoded_time_of_week_s": 554765,
"simulator_truth_time_of_week_s": 554765,
"time_of_week_absolute_error_s": 0,
"expected_quantization_step_s": 1,
"leap_seconds_from_rinex": 18,
"pass": true
},
"overall_pass": true
}
+14
View File
@@ -0,0 +1,14 @@
# I/NAV decoded-field truth comparison
Truth was applied only after standalone RF-to-page decoding and ephemeris assembly.
| PRN | RINEX epoch | Fields | Result |
| --: | --- | --: | ---: |
| 1 | 2021 06 19 10 10 00 | 22 | PASS |
| 4 | 2021 06 19 10 20 00 | 22 | PASS |
| 21 | 2021 06 19 10 10 00 | 22 | PASS |
| 27 | 2021 06 19 10 10 00 | 22 | PASS |
## Galileo system time
Decoded GST week/TOW: 1138/554765 s; independently expected 1138/554765 s. Result: **PASS**.
+35
View File
@@ -0,0 +1,35 @@
# Navigation readiness review
## Gate result
The standalone receiver path decoded SignalSim RF samples without consuming
simulator ephemeris, satellite states, transmit times, receiver truth, or RINEX
fields. The RINEX source was opened only by a separate post-decode comparison.
The reproducible `navigation_multisat` vector contains 131,758,308 complex IQ8
samples (32.2 s at 4.092 MHz), SHA-256
`b38393b32eec2df53f9813ea7ff8f13e5e0fc72fa5cb7fb910a2b8f907a56a6e`.
| Criterion | Evidence | Result |
| --- | --- | ---: |
| E1B prompts and raw symbols from tracked RF | Five `prompt_epochs.npz`, `soft_symbols.npy`, and `hard_symbols.bin` artifact sets | PASS |
| Stable symbol and page synchronization | Repeated 250-symbol sync confirmation; 146 synchronized page parts | PASS |
| Deinterleaving | Official Annex D.2 coded vector plus RF pages | PASS |
| Soft-decision FEC | Independent Annex D.2 vector; all 70 received pages FEC-valid | PASS |
| CRC | Independent CRC-24Q check vector; 70 pass, 0 fail | PASS |
| Critical words | Types 1–6 decoded and typed | PASS |
| Complete ephemeris | PRNs 1, 4, 21, and 27; atomic matching IODnav sets | PASS |
| Satellite clock | Word 4 clock polynomial for all four complete satellites | PASS |
| Galileo time | GST week 1138, TOW 554765 s from tracked page data | PASS |
| Health and validity | Four complete satellites report usable E1B health and DVS | PASS |
| Independent truth comparison | Every ephemeris/clock field within 0.5 broadcast LSB; GST within its 1 s resolution | PASS |
| Reproducible artifacts | Prompt, symbol, page, FEC, CRC, word, ephemeris and summary evidence per PRN | PASS |
| Decoder truth isolation | Collection report records `decoder_truth_inputs: []` | PASS |
PRN 19 deliberately demonstrates the incomplete-data behavior: it received
word types 2–6 but not word 1 during the observation, so no ephemeris was
fabricated or committed. The other four satellites satisfy the readiness gate.
PVT has not been implemented or started in this milestone.
NAVIGATION DATA READY FOR PVT
@@ -0,0 +1,211 @@
{
"decoder_truth_inputs": [],
"icd": "Galileo OS SIS ICD Issue 2.2, November 2025",
"signalsim_commit": "80b262113e77c4482ca9f5cbfef9bcada402ed28",
"sample_file": "/home/onur/Desktop/galileo/verification/vectors/signalsim/navigation_multisat/navigation_multisat_iq8.bin",
"sample_sha256": "b38393b32eec2df53f9813ea7ff8f13e5e0fc72fa5cb7fb910a2b8f907a56a6e",
"sample_count": 131758308,
"sampling_frequency_hz": 4092000.0,
"intermediate_frequency_hz": 1023000.0,
"satellites": {
"1": {
"prn": 1,
"acquisition_detected": true,
"acquisition_time_s": 0.1004119270000956,
"raw_doppler_hz": 1750.0,
"expected_doppler_hz": 1828.0,
"start_sample_timestamp": 90995,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.650105177999649,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 10,
"tracking_lock_timestamp": 107363,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 4428515,
"first_page_sync_timestamp": 4428515,
"first_crc_valid_page_timestamp": 4428515,
"page_parts": 31,
"pages": 15,
"crc_passes": 15,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61716515,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.260811995001859
},
"4": {
"prn": 4,
"acquisition_detected": true,
"acquisition_time_s": 0.08580062900000485,
"raw_doppler_hz": 2250.0,
"expected_doppler_hz": 2171.0,
"start_sample_timestamp": 86819,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.877967087995785,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 61,
"tracking_lock_timestamp": 103187,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12624707,
"first_page_sync_timestamp": 12624707,
"first_crc_valid_page_timestamp": 12624707,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 30,
"first_complete_ephemeris_timestamp": 61728707,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.3411525530027575
},
"19": {
"prn": 19,
"acquisition_detected": true,
"acquisition_time_s": 0.0836479790013982,
"raw_doppler_hz": -250.0,
"expected_doppler_hz": -367.0,
"start_sample_timestamp": 87566,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.9836710640011,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 406,
"tracking_lock_timestamp": 103934,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 16684718,
"first_page_sync_timestamp": 16684718,
"first_crc_valid_page_timestamp": 20776718,
"page_parts": 28,
"pages": 13,
"crc_passes": 13,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [
1
],
"complete_ephemeris": false,
"ephemeris_iod_nav": null,
"first_complete_ephemeris_timestamp": null,
"clock_parameters": true,
"health_valid": false,
"data_valid": false,
"decoding_time_s": 1.2081766550036264
},
"21": {
"prn": 21,
"acquisition_detected": true,
"acquisition_time_s": 0.08741291100159287,
"raw_doppler_hz": -750.0,
"expected_doppler_hz": -712.0,
"start_sample_timestamp": 93628,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.982213923998643,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 259,
"tracking_lock_timestamp": 101812,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12598780,
"first_page_sync_timestamp": 12598780,
"first_crc_valid_page_timestamp": 12598780,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61702780,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.231179278001946
},
"27": {
"prn": 27,
"acquisition_detected": true,
"acquisition_time_s": 0.08157938700605882,
"raw_doppler_hz": -2750.0,
"expected_doppler_hz": -2637.0,
"start_sample_timestamp": 88014,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.978430488001322,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 0,
"tracking_lock_timestamp": 96198,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12642270,
"first_page_sync_timestamp": 12642270,
"first_crc_valid_page_timestamp": 12642270,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61746270,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.2002744679994066
}
},
"galileo_time": {
"week_number": 1138,
"time_of_week_s": 554765,
"page_start_sample_timestamp": 69930270,
"source_word_type": 6,
"valid": true
},
"navigation_ready": true
}
@@ -0,0 +1,11 @@
# Galileo I/NAV collection report
The standalone decoder consumed tracked E1B prompts only; simulator ephemeris and time truth were not inputs.
| PRN | Tracking | Symbol sync | Page sync | CRC pages | Complete ephemeris | Clock | Time | Ready |
| --: | -------: | ----------: | --------: | --------: | -----------------: | ----: | ---: | ----: |
| 1 | PLL_TRACK | True | 31 | 15 | True | True | True | True |
| 4 | PLL_TRACK | True | 29 | 14 | True | True | True | True |
| 19 | PLL_TRACK | True | 28 | 13 | False | True | True | False |
| 21 | PLL_TRACK | True | 29 | 14 | True | True | True | True |
| 27 | PLL_TRACK | True | 29 | 14 | True | True | True | True |
+109
View File
@@ -25,6 +25,10 @@ from galileo_rx.signals.signal_generator import ChannelModelConfig, SatelliteSig
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
from galileo_rx.verification.inav_truth import compare_navigation_truth
from galileo_rx.navigation.collection import collect_navigation
from galileo_rx.navigation.decoder_diagnostics import load_prompt_epochs, save_symbols, write_json_lines
from galileo_rx.navigation.inav_pipeline import InavNavigationPipeline
LOGGER = logging.getLogger("galileo_rx")
@@ -130,6 +134,69 @@ def command_validate_signalsim(args: argparse.Namespace) -> None:
raise SystemExit(1)
def command_collect_navigation(args: argparse.Namespace) -> None:
report, passed = collect_navigation(
args.config,
args.output_dir,
signalsim_path=args.signalsim_path,
selected_prns=args.prn,
)
print(json.dumps({"navigation_ready": passed, "report": str(Path(args.output_dir).resolve() / "inav_collection_report.json")}, indent=2))
if args.require_ready and not passed:
raise SystemExit(1)
def command_prompts_to_symbols(args: argparse.Namespace) -> None:
prompts = load_prompt_epochs(args.input, args.prn)
pipeline = InavNavigationPipeline(args.prn, minimum_symbol_confidence=args.minimum_confidence)
symbols = pipeline.symbol_sync.process_many(prompts)
save_symbols(args.output_dir, symbols)
print(json.dumps({"prompt_epochs": len(prompts), "symbols": len(symbols), "output_dir": str(Path(args.output_dir).resolve())}, indent=2))
def command_decode_inav(args: argparse.Namespace) -> None:
prompts = load_prompt_epochs(args.input, args.prn)
pipeline = InavNavigationPipeline(args.prn, minimum_symbol_confidence=args.minimum_confidence)
result = pipeline.process(prompts)
output = Path(args.output_dir)
output.mkdir(parents=True, exist_ok=True)
save_symbols(output, result.symbols)
write_json_lines(output / "synchronized_pages.jsonl", result.page_parts)
write_json_lines(output / "fec_results.jsonl", result.pages)
write_json_lines(output / "parsed_words.jsonl", result.words)
ephemeris = pipeline.store.get_ephemeris(args.prn)
if ephemeris is not None:
(output / "ephemeris.json").write_text(json.dumps(asdict(ephemeris), indent=2) + "\n", encoding="utf-8")
summary = {
"pages": len(result.pages),
"crc_valid_pages": sum(page.crc_valid for page in result.pages),
"word_types": sorted({word.word_type for word in result.words}),
"complete_ephemeris": ephemeris is not None,
}
(output / "decoder_summary.json").write_text(json.dumps(summary, indent=2) + "\n", encoding="utf-8")
print(json.dumps(summary, indent=2))
def command_inspect_navigation(args: argparse.Namespace) -> None:
path = Path(args.input)
if path.is_dir():
path = path / "decoder_summary.json"
print(json.dumps(json.loads(path.read_text(encoding="utf-8")), indent=2))
def command_compare_inav_truth(args: argparse.Namespace) -> None:
_, passed = compare_navigation_truth(
args.artifact_root,
args.rinex,
args.output_dir,
collection_report_path=args.collection_report,
signalsim_config_path=args.signalsim_config,
)
print(json.dumps({"truth_comparison_pass": passed, "report": str(Path(args.output_dir).resolve() / "inav_truth_comparison.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")
@@ -175,6 +242,48 @@ def build_parser() -> argparse.ArgumentParser:
validate.add_argument("--output-dir", default="reports/signalsim_validation")
validate.add_argument("--mode", choices=["quick", "full"])
validate.set_defaults(handler=command_validate_signalsim)
collect = commands.add_parser("collect-navigation")
collect.add_argument("--config", default="configs/navigation_collection.yaml")
collect.add_argument("--signalsim-path")
collect.add_argument("--output-dir", default="reports/navigation_run")
collect.add_argument("--prn", type=int, action="append")
collect.add_argument("--require-ready", action="store_true")
collect.set_defaults(handler=command_collect_navigation)
track_prompts = commands.add_parser("track-to-prompts")
track_prompts.add_argument("--config", default="configs/navigation_collection.yaml")
track_prompts.add_argument("--signalsim-path")
track_prompts.add_argument("--output-dir", default="reports/navigation_run")
track_prompts.add_argument("--prn", type=int, action="append", required=True)
track_prompts.add_argument("--require-ready", action="store_false", dest="require_ready")
track_prompts.set_defaults(handler=command_collect_navigation, require_ready=False)
prompts = commands.add_parser("prompts-to-symbols")
prompts.add_argument("--input", required=True)
prompts.add_argument("--prn", required=True, type=int)
prompts.add_argument("--output-dir", required=True)
prompts.add_argument("--minimum-confidence", type=float, default=0.1)
prompts.set_defaults(handler=command_prompts_to_symbols)
decode = commands.add_parser("decode-inav")
decode.add_argument("--input", required=True)
decode.add_argument("--prn", required=True, type=int)
decode.add_argument("--output-dir", required=True)
decode.add_argument("--minimum-confidence", type=float, default=0.1)
decode.set_defaults(handler=command_decode_inav)
assemble = commands.add_parser("assemble-ephemeris")
assemble.add_argument("--input", required=True)
assemble.add_argument("--prn", required=True, type=int)
assemble.add_argument("--output-dir", required=True)
assemble.add_argument("--minimum-confidence", type=float, default=0.1)
assemble.set_defaults(handler=command_decode_inav)
inspect = commands.add_parser("inspect-navigation")
inspect.add_argument("--input", required=True)
inspect.set_defaults(handler=command_inspect_navigation)
truth = commands.add_parser("compare-inav-truth")
truth.add_argument("--artifact-root", required=True)
truth.add_argument("--rinex", required=True)
truth.add_argument("--output-dir", default="reports")
truth.add_argument("--collection-report")
truth.add_argument("--signalsim-config")
truth.set_defaults(handler=command_compare_inav_truth)
return parser
+16
View File
@@ -0,0 +1,16 @@
"""Galileo E1B symbol recovery and I/NAV decoding stages."""
from .e1b_prompt_stream import E1BPromptEpoch, E1BPromptStream
from .e1b_symbol_sync import E1BSymbolSynchronizer, NavigationSymbol
from .inav_page_decoder import InavPage, InavPageDecoder
from .navigation_store import NavigationStore
__all__ = [
"E1BPromptEpoch",
"E1BPromptStream",
"E1BSymbolSynchronizer",
"NavigationSymbol",
"InavPage",
"InavPageDecoder",
"NavigationStore",
]
+213
View File
@@ -0,0 +1,213 @@
"""SignalSim RF-to-I/NAV collection runner and evidence generation."""
from __future__ import annotations
from dataclasses import asdict
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.io.signalsim_reader import SignalSimReader, SignalSimSampleSpec
from galileo_rx.signal_profiles import galileo_e1_profile
from galileo_rx.signals.signalsim_codes import SignalSimCodeProvider
from galileo_rx.tracking.tracking_channel import TrackingChannel
from .decoder_diagnostics import save_prompt_epochs, save_symbols, write_json_lines
from .e1b_prompt_stream import E1BPromptStream
from .inav_pipeline import InavNavigationPipeline
from .navigation_store import NavigationStore
def _file_hash(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 _json_default(value: Any) -> Any:
if isinstance(value, np.generic):
return value.item()
if isinstance(value, np.ndarray):
return value.tolist()
if isinstance(value, set):
return sorted(value)
return str(value)
def collect_navigation(
config_path: str | Path,
output_dir: str | Path,
*,
signalsim_path: str | Path | None = None,
selected_prns: list[int] | None = None,
) -> tuple[dict[str, Any], bool]:
"""Decode navigation using samples/prompts only; truth is not accepted here."""
config_file = Path(config_path).resolve()
root = config_file.parent.parent
cfg = yaml.safe_load(config_file.read_text(encoding="utf-8"))
source = Path(signalsim_path or root / cfg["signalsim"]["path"]).resolve()
samples_path = root / cfg["signalsim"]["samples"]
if not samples_path.is_file():
subprocess.run(
[
str(root / "tools" / "generate_signalsim_vectors.py"),
"--signalsim-path", str(source), "--vector", cfg["signalsim"]["vector"],
"--project-root", str(root),
],
check=True,
)
out = Path(output_dir).resolve()
out.mkdir(parents=True, exist_ok=True)
fs = float(cfg["rf"]["sampling_frequency_hz"])
if_hz = float(cfg["rf"]["intermediate_frequency_hz"])
prns = selected_prns or [int(item) for item in cfg["satellites"]["prns"]]
expected_doppler = {int(key): float(value) for key, value in cfg["satellites"]["expected_doppler_hz"].items()}
samples = SignalSimReader(samples_path, SignalSimSampleSpec(cfg["signalsim"]["sample_format"]), memory_map=True).read()
profile = galileo_e1_profile()
provider = SignalSimCodeProvider(source)
acquisition_cfg = AcquisitionConfig(**cfg["acquisition"], parallelism="doppler_vectorized")
acquisition_manager = AcquisitionManager(profile, provider, fs, acquisition_cfg)
acquisition_sample_count = acquisition_manager.engine.coherent_samples * acquisition_cfg.noncoherent_accumulations
primary_samples = int(round(fs * profile.component("E1B").primary_code_period_s))
store = NavigationStore()
satellites: dict[int, dict[str, Any]] = {}
for prn in prns:
started = time.perf_counter()
acquisition, _ = acquisition_manager.acquire_one(
samples[:acquisition_sample_count], "E1B", prn, if_hz
)
acquired_s = time.perf_counter() - started
start_sample = int(round(
acquisition.code_phase_samples
+ math.ceil((acquisition_sample_count - acquisition.code_phase_samples) / primary_samples) * primary_samples
))
tracking_values = cfg["tracking"]
tracking_config = TrackingConfig(
integration_ms=float(tracking_values["integration_ms"]),
pull_in_duration_ms=float(tracking_values["pull_in_duration_ms"]),
pll_noise_bandwidth_hz=float(tracking_values["pll_noise_bandwidth_hz"]),
fll_noise_bandwidth_hz=float(tracking_values["fll_noise_bandwidth_hz"]),
dll_noise_bandwidth_hz=float(tracking_values["dll_noise_bandwidth_hz"]),
secondary_code_mode="none",
loss_of_lock_epochs=40,
)
tracking_started = time.perf_counter()
channel = TrackingChannel(profile, provider, fs, tracking_config, acquisition, start_sample)
measurements = channel.process(samples[start_sample:])
tracking_elapsed_s = time.perf_counter() - tracking_started
prompt_stream = E1BPromptStream(prn, fs)
prompts = prompt_stream.extend(measurements)
nav_cfg = cfg["navigation"]
pipeline = InavNavigationPipeline(
prn,
store=store,
minimum_symbol_confidence=float(tracking_values["minimum_confidence"]),
maximum_sync_errors=int(nav_cfg["maximum_sync_errors"]),
page_sync_confirmations=int(nav_cfg["page_sync_confirmations"]),
viterbi_traceback_depth=int(nav_cfg["viterbi_traceback_depth"]),
)
decoding_started = time.perf_counter()
decoded = pipeline.process(prompts)
decoding_elapsed_s = time.perf_counter() - decoding_started
artifact_dir = root / "verification" / "navigation" / "signalsim_navigation_multisat" / f"prn_{prn:02d}"
save_prompt_epochs(artifact_dir / "prompt_epochs.npz", prompts)
save_symbols(artifact_dir, decoded.symbols)
write_json_lines(artifact_dir / "synchronized_pages.jsonl", decoded.page_parts)
write_json_lines(artifact_dir / "fec_results.jsonl", decoded.pages)
valid_pages = [page for page in decoded.pages if page.crc_valid]
valid_bits = np.asarray([bit for page in valid_pages for bit in page.word_bits], dtype=np.uint8)
np.packbits(valid_bits, bitorder="big").tofile(artifact_dir / "crc_valid_pages.bin")
write_json_lines(artifact_dir / "parsed_words.jsonl", decoded.words)
ephemeris = store.get_ephemeris(prn)
if ephemeris is not None:
(artifact_dir / "ephemeris.json").write_text(
json.dumps(asdict(ephemeris), indent=2, default=_json_default) + "\n", encoding="utf-8"
)
status = store.get_decoder_status(prn)
first_part = decoded.page_parts[0].receive_sample_timestamp if decoded.page_parts else None
first_crc = next((page.receive_sample_timestamp for page in decoded.pages if page.crc_valid), None)
summary = {
"prn": prn,
"acquisition_detected": acquisition.detected,
"acquisition_time_s": acquired_s,
"raw_doppler_hz": acquisition.raw_doppler_hz,
"expected_doppler_hz": expected_doppler.get(prn),
"start_sample_timestamp": start_sample,
"tracking_epoch_count": len(measurements),
"tracking_time_s": tracking_elapsed_s,
"tracking_final_state": measurements[-1].state.value if measurements else None,
"tracking_reacquisition_requests": sum(item.reacquisition_requested for item in measurements),
"tracking_lock_timestamp": next((item.end_sample_timestamp for item in measurements if item.carrier_lock and item.code_lock), None),
"prompt_epoch_count": len(prompts),
"first_synchronized_symbol_timestamp": first_part,
"first_page_sync_timestamp": first_part,
"first_crc_valid_page_timestamp": first_crc,
"page_parts": len(decoded.page_parts),
"pages": len(decoded.pages),
"crc_passes": status.crc_passes,
"crc_failures": status.crc_failures,
"fec_failures": status.fec_failures,
"received_word_types": sorted(status.word_types),
"missing_ephemeris_word_types": sorted(store.get_missing_ephemeris_words(prn)),
"complete_ephemeris": ephemeris is not None,
"ephemeris_iod_nav": ephemeris.iod_nav if ephemeris else None,
"first_complete_ephemeris_timestamp": ephemeris.completed_timestamp if ephemeris else None,
"clock_parameters": store.get_clock_parameters(prn) is not None,
"health_valid": ephemeris.health_valid if ephemeris else False,
"data_valid": ephemeris.data_valid if ephemeris else False,
"decoding_time_s": decoding_elapsed_s,
}
(artifact_dir / "decoder_summary.json").write_text(
json.dumps(summary, indent=2, default=_json_default) + "\n", encoding="utf-8"
)
satellites[prn] = summary
ready = store.navigation_ready(
minimum_satellites=int(cfg["navigation"]["minimum_satellites"]),
require_time=bool(cfg["navigation"]["require_time"]),
require_healthy=bool(cfg["navigation"]["require_healthy"]),
)
report = {
"decoder_truth_inputs": [],
"icd": cfg["navigation"]["icd"],
"signalsim_commit": subprocess.check_output(["git", "-C", str(source), "rev-parse", "HEAD"], text=True).strip(),
"sample_file": str(samples_path),
"sample_sha256": _file_hash(samples_path),
"sample_count": int(samples.size),
"sampling_frequency_hz": fs,
"intermediate_frequency_hz": if_hz,
"satellites": satellites,
"galileo_time": asdict(store.get_time_solution()) if store.get_time_solution() else None,
"navigation_ready": ready,
}
(out / "inav_collection_report.json").write_text(
json.dumps(report, indent=2, default=_json_default) + "\n", encoding="utf-8"
)
rows = [
"# Galileo I/NAV collection report", "",
"The standalone decoder consumed tracked E1B prompts only; simulator ephemeris and time truth were not inputs.", "",
"| PRN | Tracking | Symbol sync | Page sync | CRC pages | Complete ephemeris | Clock | Time | Ready |",
"| --: | -------: | ----------: | --------: | --------: | -----------------: | ----: | ---: | ----: |",
]
for prn, item in satellites.items():
sat_ready = item["complete_ephemeris"] and item["clock_parameters"] and item["health_valid"] and item["data_valid"] and report["galileo_time"] is not None
rows.append(
f"| {prn} | {item['tracking_final_state']} | {item['first_synchronized_symbol_timestamp'] is not None} | "
f"{item['page_parts']} | {item['crc_passes']} | {item['complete_ephemeris']} | "
f"{item['clock_parameters']} | {report['galileo_time'] is not None} | {sat_ready} |"
)
(out / "inav_collection_report.md").write_text("\n".join(rows) + "\n", encoding="utf-8")
return report, ready
@@ -0,0 +1,104 @@
"""Serialization helpers for reproducible navigation-decoder evidence."""
from __future__ import annotations
from dataclasses import asdict, is_dataclass
import json
from pathlib import Path
from typing import Any, Iterable
import numpy as np
from .e1b_prompt_stream import E1BPromptEpoch
from .e1b_symbol_sync import NavigationSymbol
def _json_default(value: Any) -> Any:
if is_dataclass(value):
return asdict(value)
if isinstance(value, np.generic):
return value.item()
if isinstance(value, np.ndarray):
return value.tolist()
if isinstance(value, set):
return sorted(value)
raise TypeError(f"cannot serialize {type(value).__name__}")
def write_json_lines(path: str | Path, records: Iterable[Any]) -> None:
destination = Path(path)
destination.parent.mkdir(parents=True, exist_ok=True)
with destination.open("w", encoding="utf-8") as stream:
for record in records:
stream.write(json.dumps(record, default=_json_default, sort_keys=True) + "\n")
def save_prompt_epochs(path: str | Path, epochs: list[E1BPromptEpoch]) -> None:
destination = Path(path)
destination.parent.mkdir(parents=True, exist_ok=True)
np.savez_compressed(
destination,
start_sample_timestamp=np.asarray([item.start_sample_timestamp for item in epochs], dtype=np.int64),
end_sample_timestamp=np.asarray([item.end_sample_timestamp for item in epochs], dtype=np.int64),
prompt_i=np.asarray([item.prompt_i for item in epochs], dtype=np.float64),
prompt_q=np.asarray([item.prompt_q for item in epochs], dtype=np.float64),
carrier_phase_cycles=np.asarray([item.carrier_phase_cycles for item in epochs], dtype=np.float64),
carrier_frequency_hz=np.asarray([item.carrier_frequency_hz for item in epochs], dtype=np.float64),
code_phase_chips=np.asarray([item.code_phase_chips for item in epochs], dtype=np.float64),
cn0_db_hz=np.asarray([
np.nan if item.cn0_db_hz is None else item.cn0_db_hz for item in epochs
], dtype=np.float64),
carrier_lock=np.asarray([item.carrier_lock for item in epochs], dtype=np.bool_),
code_lock=np.asarray([item.code_lock for item in epochs], dtype=np.bool_),
cycle_slip=np.asarray([item.cycle_slip for item in epochs], dtype=np.bool_),
sample_discontinuity=np.asarray([item.sample_discontinuity for item in epochs], dtype=np.bool_),
valid=np.asarray([item.valid for item in epochs], dtype=np.bool_),
)
def load_prompt_epochs(path: str | Path, prn: int) -> list[E1BPromptEpoch]:
with np.load(Path(path), allow_pickle=False) as values:
count = int(values["prompt_i"].size)
required = {
"start_sample_timestamp", "end_sample_timestamp", "prompt_i", "prompt_q",
"carrier_phase_cycles", "carrier_frequency_hz", "code_phase_chips", "valid",
}
if not required <= set(values.files):
raise ValueError(f"prompt artifact is missing arrays: {sorted(required - set(values.files))}")
# Artifacts written before the navigation milestone did not preserve
# these quality flags. Retain backward readability, but never infer a
# C/N0 value that was not recorded.
has_quality = {
"cn0_db_hz", "carrier_lock", "code_lock", "cycle_slip", "sample_discontinuity",
} <= set(values.files)
return [
E1BPromptEpoch(
prn=int(prn),
start_sample_timestamp=int(values["start_sample_timestamp"][index]),
end_sample_timestamp=int(values["end_sample_timestamp"][index]),
prompt_i=float(np.float64(values["prompt_i"][index])),
prompt_q=float(np.float64(values["prompt_q"][index])),
carrier_phase_cycles=float(np.float64(values["carrier_phase_cycles"][index])),
carrier_frequency_hz=float(np.float64(values["carrier_frequency_hz"][index])),
code_phase_chips=float(np.float64(values["code_phase_chips"][index])),
cn0_db_hz=(
None if not has_quality or np.isnan(values["cn0_db_hz"][index])
else float(np.float64(values["cn0_db_hz"][index]))
),
carrier_lock=bool(values["carrier_lock"][index]) if has_quality else True,
code_lock=bool(values["code_lock"][index]) if has_quality else True,
cycle_slip=bool(values["cycle_slip"][index]) if has_quality else False,
sample_discontinuity=bool(values["sample_discontinuity"][index]) if has_quality else False,
valid=bool(values["valid"][index]),
)
for index in range(count)
]
def save_symbols(directory: str | Path, symbols: list[NavigationSymbol]) -> None:
target = Path(directory)
target.mkdir(parents=True, exist_ok=True)
soft = np.asarray([item.soft_value for item in symbols], dtype=np.float64)
hard = np.asarray([item.hard_value for item in symbols], dtype=np.uint8)
np.save(target / "soft_symbols.npy", soft)
np.packbits(hard, bitorder="big").tofile(target / "hard_symbols.bin")
@@ -0,0 +1,98 @@
"""Lossless 4 ms E1B prompt-epoch records for navigation decoding."""
from __future__ import annotations
from dataclasses import dataclass
import numpy as np
from galileo_rx.types import TrackingMeasurement
@dataclass(frozen=True, slots=True)
class E1BPromptEpoch:
prn: int
start_sample_timestamp: int
end_sample_timestamp: int
prompt_i: float
prompt_q: float
carrier_phase_cycles: float
carrier_frequency_hz: float
code_phase_chips: float
cn0_db_hz: float | None
carrier_lock: bool
code_lock: bool
cycle_slip: bool
sample_discontinuity: bool
valid: bool
class E1BPromptStream:
"""Combine contiguous tracking dumps into primary-code (4 ms) epochs.
The tracker may run at 2 ms during pull-in. Complex dumps are retained and
coherently combined only when their timestamps form one complete 4 ms E1B
primary-code interval. A gap produces an invalid discontinuity record rather
than silently joining unrelated samples.
"""
def __init__(self, prn: int, sampling_frequency_hz: float, primary_period_s: float = 0.004) -> None:
if prn <= 0 or sampling_frequency_hz <= 0.0 or primary_period_s <= 0.0:
raise ValueError("PRN, sampling frequency, and primary period must be positive")
self.prn = int(prn)
self.sampling_frequency_hz = np.float64(sampling_frequency_hz)
self.primary_samples = int(round(float(self.sampling_frequency_hz) * primary_period_s))
if not np.isclose(self.primary_samples, self.sampling_frequency_hz * primary_period_s, atol=1e-9):
raise ValueError("E1B primary period must contain an integer sample count")
self._pending: list[TrackingMeasurement] = []
self.epochs: list[E1BPromptEpoch] = []
def reset(self) -> None:
self._pending.clear()
def append(self, measurement: TrackingMeasurement) -> E1BPromptEpoch | None:
if measurement.end_sample_timestamp <= measurement.start_sample_timestamp:
raise ValueError("tracking measurement has a non-positive timestamp span")
if self._pending and measurement.start_sample_timestamp != self._pending[-1].end_sample_timestamp:
self._pending.clear()
measurement.sample_discontinuity = True
self._pending.append(measurement)
span = self._pending[-1].end_sample_timestamp - self._pending[0].start_sample_timestamp
if span < self.primary_samples:
return None
if span > self.primary_samples:
self._pending.clear()
raise ValueError("tracking integration boundaries do not tile one 4 ms E1B epoch")
items = self._pending
self._pending = []
prompt = np.sum(
np.asarray([complex(item.prompt_i, item.prompt_q) for item in items], dtype=np.complex128),
dtype=np.complex128,
)
last = items[-1]
epoch = E1BPromptEpoch(
prn=self.prn,
start_sample_timestamp=items[0].start_sample_timestamp,
end_sample_timestamp=last.end_sample_timestamp,
prompt_i=float(np.float64(prompt.real)),
prompt_q=float(np.float64(prompt.imag)),
carrier_phase_cycles=float(np.float64(last.carrier_phase_cycles)),
carrier_frequency_hz=float(np.float64(last.carrier_frequency_hz)),
code_phase_chips=float(np.float64(last.code_phase_chips)),
cn0_db_hz=last.cn0_db_hz,
carrier_lock=all(item.carrier_lock for item in items),
code_lock=all(item.code_lock for item in items),
cycle_slip=any(item.cycle_slip for item in items),
sample_discontinuity=any(item.sample_discontinuity for item in items),
valid=all(item.valid for item in items),
)
self.epochs.append(epoch)
return epoch
def extend(self, measurements: list[TrackingMeasurement]) -> list[E1BPromptEpoch]:
output: list[E1BPromptEpoch] = []
for measurement in measurements:
epoch = self.append(measurement)
if epoch is not None:
output.append(epoch)
return output
@@ -0,0 +1,86 @@
"""Carrier-ambiguity-preserving E1B navigation-symbol recovery."""
from __future__ import annotations
from dataclasses import dataclass
import numpy as np
from .e1b_prompt_stream import E1BPromptEpoch
@dataclass(frozen=True, slots=True)
class NavigationSymbol:
prn: int
symbol_index: int
start_sample_timestamp: int
end_sample_timestamp: int
soft_value: float
hard_value: int
confidence: float
inverted: bool
valid: bool
class E1BSymbolSynchronizer:
"""Project complex prompts onto a BPSK axis without resolving its sign.
``soft_value > 0`` is evidence for the synchronizer's provisional bit 1.
The 180-degree carrier ambiguity remains explicit and is resolved later from
repeated official page synchronization patterns. It is never hidden here.
"""
def __init__(self, minimum_axis_epochs: int = 8, minimum_confidence: float = 0.25) -> None:
if minimum_axis_epochs < 2 or not 0.0 <= minimum_confidence <= 1.0:
raise ValueError("invalid E1B symbol synchronizer settings")
self.minimum_axis_epochs = int(minimum_axis_epochs)
self.minimum_confidence = np.float64(minimum_confidence)
self.symbol_index = 0
self.axis_accumulator = np.complex128(0.0j)
self.axis_epochs = 0
self.loss_count = 0
self.symbols: list[NavigationSymbol] = []
def reset(self) -> None:
self.axis_accumulator = np.complex128(0.0j)
self.axis_epochs = 0
self.loss_count += 1
def process(self, epoch: E1BPromptEpoch) -> NavigationSymbol:
discontinuity = epoch.cycle_slip or epoch.sample_discontinuity
if discontinuity:
self.reset()
prompt = np.complex128(complex(epoch.prompt_i, epoch.prompt_q))
if epoch.valid and epoch.carrier_lock and epoch.code_lock and abs(prompt) > 0.0:
# Squaring removes BPSK data modulation while retaining twice the
# carrier-axis phase. complex128 is mandatory in the reference path.
self.axis_accumulator += prompt * prompt
self.axis_epochs += 1
axis_rad = np.float64(0.5 * np.angle(self.axis_accumulator)) if self.axis_epochs else np.float64(0.0)
projected = np.float64((prompt * np.exp(-1j * axis_rad)).real)
confidence = np.float64(abs(projected) / max(float(abs(prompt)), np.finfo(np.float64).tiny))
valid = bool(
epoch.valid
and epoch.carrier_lock
and epoch.code_lock
and not discontinuity
and self.axis_epochs >= self.minimum_axis_epochs
and confidence >= self.minimum_confidence
)
symbol = NavigationSymbol(
prn=epoch.prn,
symbol_index=self.symbol_index,
start_sample_timestamp=epoch.start_sample_timestamp,
end_sample_timestamp=epoch.end_sample_timestamp,
soft_value=float(projected),
hard_value=int(projected >= 0.0),
confidence=float(confidence),
inverted=False,
valid=valid,
)
self.symbol_index += 1
self.symbols.append(symbol)
return symbol
def process_many(self, epochs: list[E1BPromptEpoch]) -> list[NavigationSymbol]:
return [self.process(epoch) for epoch in epochs]
+55
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@@ -0,0 +1,55 @@
"""Galileo System Time recovery from CRC-valid I/NAV words."""
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
from .inav_word_parser import GstUtcWord6, IonosphereHealthTimeWord5, ParsedInavWord
GST_EPOCH_UTC = datetime(1999, 8, 22, tzinfo=timezone.utc) - timedelta(seconds=13)
@dataclass(frozen=True, slots=True)
class GalileoSystemTime:
week_number: int
time_of_week_s: int
page_start_sample_timestamp: int
source_word_type: int
valid: bool
@property
def total_seconds(self) -> int:
return self.week_number * 604800 + self.time_of_week_s
class GalileoTimeRecovery:
def __init__(self) -> None:
self.current: GalileoSystemTime | None = None
self.utc_parameters: GstUtcWord6 | None = None
def update(self, word: ParsedInavWord) -> GalileoSystemTime | None:
if not word.crc_valid:
return None
if isinstance(word.payload, IonosphereHealthTimeWord5):
self.current = GalileoSystemTime(
word.payload.week_number,
word.payload.time_of_week_s,
word.receive_sample_timestamp,
word.word_type,
0 <= word.payload.time_of_week_s < 604800,
)
return self.current
if isinstance(word.payload, GstUtcWord6):
self.utc_parameters = word.payload
if self.current is not None:
self.current = GalileoSystemTime(
self.current.week_number,
word.payload.time_of_week_s,
word.receive_sample_timestamp,
word.word_type,
0 <= word.payload.time_of_week_s < 604800,
)
return self.current
return None
+40
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@@ -0,0 +1,40 @@
"""Bit-exact Galileo CRC-24Q (OS SIS ICD 2.2, Section 5.1.9.4)."""
from __future__ import annotations
import numpy as np
import numpy.typing as npt
CRC24Q_POLYNOMIAL = 0x1864CFB
CRC24Q_MASK = 0xFFFFFF
def crc24q(bits: npt.ArrayLike) -> int:
values = np.asarray(bits, dtype=np.int8).reshape(-1)
if not np.all((values == 0) | (values == 1)):
raise ValueError("CRC input must contain only bits 0 and 1")
remainder = 0
polynomial_without_msb = CRC24Q_POLYNOMIAL & CRC24Q_MASK
for bit in values:
feedback = ((remainder >> 23) & 1) ^ int(bit)
remainder = (remainder << 1) & CRC24Q_MASK
if feedback:
remainder ^= polynomial_without_msb
return remainder
def bits_to_uint(bits: npt.ArrayLike) -> int:
value = 0
for bit in np.asarray(bits, dtype=np.int8).reshape(-1):
if int(bit) not in (0, 1):
raise ValueError("input must contain only bits")
value = (value << 1) | int(bit)
return value
def validate_crc24q(protected_bits: npt.ArrayLike, received_crc_bits: npt.ArrayLike) -> bool:
crc_bits = np.asarray(received_crc_bits, dtype=np.int8).reshape(-1)
if crc_bits.size != 24:
raise ValueError("Galileo CRC field must contain 24 bits")
return crc24q(protected_bits) == bits_to_uint(crc_bits)
@@ -0,0 +1,31 @@
"""Galileo I/NAV 30-column by 8-row block deinterleaver."""
from __future__ import annotations
import numpy as np
import numpy.typing as npt
INAV_CODED_SYMBOLS = 240
INAV_INTERLEAVER_COLUMNS = 30
INAV_INTERLEAVER_ROWS = 8
def deinterleave_inav(values: npt.ArrayLike) -> npt.NDArray:
"""Undo ICD Table 27 write-by-column/read-by-row ordering."""
array = np.asarray(values)
if array.ndim != 1 or array.size != INAV_CODED_SYMBOLS:
raise ValueError("an I/NAV page part must contain exactly 240 coded symbols")
return np.ascontiguousarray(
array.reshape(INAV_INTERLEAVER_ROWS, INAV_INTERLEAVER_COLUMNS).T.reshape(-1)
)
def interleave_inav_reference(values: npt.ArrayLike) -> npt.NDArray:
"""Reference inverse used for diagnostics, not decoder validation vectors."""
array = np.asarray(values)
if array.ndim != 1 or array.size != INAV_CODED_SYMBOLS:
raise ValueError("an I/NAV encoded page part must contain exactly 240 symbols")
return np.ascontiguousarray(
array.reshape(INAV_INTERLEAVER_COLUMNS, INAV_INTERLEAVER_ROWS).T.reshape(-1)
)
@@ -0,0 +1,140 @@
"""Atomic, IOD-consistent assembly of Galileo ephemeris and clock words."""
from __future__ import annotations
from dataclasses import dataclass, field
from .inav_word_parser import (
EphemerisClockWord4,
EphemerisWord1,
EphemerisWord2,
EphemerisWord3,
IonosphereHealthTimeWord5,
ParsedInavWord,
)
@dataclass(frozen=True, slots=True)
class GalileoEphemeris:
prn: int
iod_nav: int
toe_s: float
toc_s: float
sqrt_a: float
eccentricity: float
inclination_rad: float
omega0_rad: float
argument_of_perigee_rad: float
mean_anomaly_rad: float
delta_n_rad_s: float
inclination_rate_rad_s: float
omega_dot_rad_s: float
cuc_rad: float
cus_rad: float
crc_m: float
crs_m: float
cic_rad: float
cis_rad: float
clock_bias_s: float
clock_drift_s_per_s: float
clock_drift_rate_s_per_s2: float
sisa_index: int
health_valid: bool
data_valid: bool
first_received_timestamp: int
completed_timestamp: int
@dataclass(slots=True)
class _PartialSet:
words: dict[int, ParsedInavWord] = field(default_factory=dict)
first_received_timestamp: int = 0
last_received_timestamp: int = 0
class InavEphemerisAssembler:
required_word_types = frozenset({1, 2, 3, 4})
def __init__(self, prn: int, *, max_partial_age_samples: int | None = None) -> None:
self.prn = int(prn)
if max_partial_age_samples is not None and max_partial_age_samples <= 0:
raise ValueError("max_partial_age_samples must be positive")
self.max_partial_age_samples = max_partial_age_samples
self._partials: dict[int, _PartialSet] = {}
self.latest_health: IonosphereHealthTimeWord5 | None = None
self.current: GalileoEphemeris | None = None
self.previous: GalileoEphemeris | None = None
self.rejected_mixed_sets = 0
self.stale_partial_sets = 0
def update(self, word: ParsedInavWord) -> GalileoEphemeris | None:
if word.prn != self.prn or not word.crc_valid:
raise ValueError("assembler accepts only CRC-valid words for its PRN")
if word.word_type == 5 and isinstance(word.payload, IonosphereHealthTimeWord5):
self.latest_health = word.payload
return None
if word.word_type not in self.required_word_types or word.iod_nav is None:
return None
if self.max_partial_age_samples is not None:
stale = [
iod for iod, item in self._partials.items()
if word.receive_sample_timestamp - item.last_received_timestamp
> self.max_partial_age_samples
]
for iod in stale:
del self._partials[iod]
self.stale_partial_sets += 1
partial = self._partials.setdefault(
word.iod_nav,
_PartialSet(first_received_timestamp=word.receive_sample_timestamp),
)
partial.words[word.word_type] = word
partial.last_received_timestamp = word.receive_sample_timestamp
if not self.required_word_types <= partial.words.keys():
return None
complete = self._assemble(word.iod_nav, partial)
if self.current is None or self.current.iod_nav != complete.iod_nav:
self.previous = self.current
self.current = complete
else:
self.current = complete
# A committed set is immutable evidence, not an in-progress set. A
# replacement begins in a fresh partial bucket and cannot disturb it.
self._partials = {}
return complete
def _assemble(self, iod_nav: int, partial: _PartialSet) -> GalileoEphemeris:
w1 = partial.words[1].payload
w2 = partial.words[2].payload
w3 = partial.words[3].payload
w4 = partial.words[4].payload
if not isinstance(w1, EphemerisWord1) or not isinstance(w2, EphemerisWord2):
raise TypeError("word 1/2 payload type mismatch")
if not isinstance(w3, EphemerisWord3) or not isinstance(w4, EphemerisClockWord4):
raise TypeError("word 3/4 payload type mismatch")
if w4.svid not in (0, self.prn):
raise ValueError(f"word 4 SVID {w4.svid} does not match tracking PRN {self.prn}")
health = self.latest_health
return GalileoEphemeris(
prn=self.prn, iod_nav=iod_nav, toe_s=w1.toe_s, toc_s=w4.toc_s,
sqrt_a=w1.sqrt_a, eccentricity=w1.eccentricity,
inclination_rad=w2.inclination_rad, omega0_rad=w2.omega0_rad,
argument_of_perigee_rad=w2.argument_of_perigee_rad, mean_anomaly_rad=w1.mean_anomaly_rad,
delta_n_rad_s=w3.delta_n_rad_s, inclination_rate_rad_s=w2.inclination_rate_rad_s,
omega_dot_rad_s=w3.omega_dot_rad_s, cuc_rad=w3.cuc_rad, cus_rad=w3.cus_rad,
crc_m=w3.crc_m, crs_m=w3.crs_m, cic_rad=w4.cic_rad, cis_rad=w4.cis_rad,
clock_bias_s=w4.clock_bias_s, clock_drift_s_per_s=w4.clock_drift_s_per_s,
clock_drift_rate_s_per_s2=w4.clock_drift_rate_s_per_s2, sisa_index=w3.sisa_index,
health_valid=health is not None and health.e1b_health == 0,
data_valid=health is not None and health.e1b_data_validity_status == 0,
first_received_timestamp=partial.first_received_timestamp,
completed_timestamp=partial.last_received_timestamp,
)
def missing_word_types(self) -> set[int]:
if self.current is not None:
return set()
if not self._partials:
return set(self.required_word_types)
newest = max(self._partials.values(), key=lambda item: item.last_received_timestamp)
return set(self.required_word_types - newest.words.keys())
+135
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@@ -0,0 +1,135 @@
"""Soft/hard Viterbi decoder for Galileo rate-1/2, K=7 convolutional FEC."""
from __future__ import annotations
from dataclasses import dataclass
from typing import Literal
import numpy as np
import numpy.typing as npt
@dataclass(frozen=True, slots=True)
class FecDecodeResult:
decoded_bits: list[int]
path_metric: float
corrected_error_metric: float
valid: bool
def _reverse_seven_bits(value: int) -> int:
return int(f"{value:07b}"[::-1], 2)
class InavViterbiDecoder:
"""ICD 2.2 Table 26 decoder with deterministic predecessor tie-breaking."""
constraint_length = 7
generator_polynomials_octal = (0o171, 0o133)
def __init__(self, traceback_depth: int = 35) -> None:
if traceback_depth < 1:
raise ValueError("traceback_depth must be positive")
self.traceback_depth = int(traceback_depth)
self._polynomials = tuple(_reverse_seven_bits(item) for item in self.generator_polynomials_octal)
self._next = np.empty((64, 2), dtype=np.int16)
self._outputs = np.empty((64, 2, 2), dtype=np.int8)
for state in range(64):
for bit in (0, 1):
register = ((state << 1) | bit) & 0x7F
self._next[state, bit] = register & 0x3F
self._outputs[state, bit, 0] = (register & self._polynomials[0]).bit_count() & 1
# Figure 13 explicitly inverts the second encoder branch.
self._outputs[state, bit, 1] = ((register & self._polynomials[1]).bit_count() & 1) ^ 1
def decode(
self,
received: npt.ArrayLike,
*,
mode: Literal["soft", "hard"] = "soft",
initial_state: int = 0,
terminal_state: int | None = 0,
) -> FecDecodeResult:
values = np.asarray(received)
if values.ndim != 1 or values.size == 0 or values.size % 2:
raise ValueError("Viterbi input must be a nonempty even-length symbol vector")
if initial_state not in range(64) or terminal_state is not None and terminal_state not in range(64):
raise ValueError("Viterbi states must be in 0..63")
if mode == "hard":
hard = values.astype(np.int8, copy=False)
if not np.all((hard == 0) | (hard == 1)):
raise ValueError("hard Viterbi symbols must be 0 or 1")
observations = hard.reshape(-1, 2)
elif mode == "soft":
observations = values.astype(np.float64, copy=False).reshape(-1, 2)
if not np.all(np.isfinite(observations)):
raise ValueError("soft Viterbi symbols must be finite")
else:
raise ValueError("Viterbi mode must be 'soft' or 'hard'")
steps = observations.shape[0]
infinity = np.float64(np.inf)
metrics = np.full(64, infinity, dtype=np.float64)
metrics[initial_state] = 0.0
predecessors = np.full((steps, 64), -1, dtype=np.int16)
decisions = np.full((steps, 64), -1, dtype=np.int8)
for index, observation in enumerate(observations):
updated = np.full(64, infinity, dtype=np.float64)
for state in range(64):
if not np.isfinite(metrics[state]):
continue
for bit in (0, 1):
target = int(self._next[state, bit])
expected = self._outputs[state, bit]
if mode == "hard":
branch = np.float64(np.count_nonzero(observation != expected))
else:
expected_sign = np.where(expected == 1, 1.0, -1.0)
branch = np.float64(-np.dot(observation, expected_sign))
candidate = metrics[state] + branch
# Strict comparison preserves the first (lowest state, then
# input 0) predecessor for deterministic ties.
if candidate < updated[target]:
updated[target] = candidate
predecessors[index, target] = state
decisions[index, target] = bit
metrics = updated
final_state = int(np.argmin(metrics)) if terminal_state is None else terminal_state
if not np.isfinite(metrics[final_state]):
return FecDecodeResult([], float("inf"), float("inf"), False)
decoded = np.empty(steps, dtype=np.int8)
state = final_state
for index in range(steps - 1, -1, -1):
decoded[index] = decisions[index, state]
state = int(predecessors[index, state])
if state < 0 and index:
return FecDecodeResult([], float(metrics[final_state]), float("inf"), False)
encoded = self.encode(decoded, initial_state=initial_state)
received_hard = (
values.astype(np.int8, copy=False)
if mode == "hard"
else np.where(values.astype(np.float64) >= 0.0, 1, 0).astype(np.int8)
)
corrected = float(np.count_nonzero(encoded != received_hard))
tail_valid = decoded.size >= 6 and bool(np.all(decoded[-6:] == 0))
state_valid = terminal_state is None or final_state == terminal_state
return FecDecodeResult(
decoded_bits=decoded.astype(int).tolist(),
path_metric=float(metrics[final_state]),
corrected_error_metric=corrected,
valid=bool(tail_valid and state_valid),
)
def encode(self, bits: npt.ArrayLike, *, initial_state: int = 0) -> npt.NDArray[np.int8]:
"""Diagnostic encoder; decoder tests use the independent ICD Annex D vector."""
source = np.asarray(bits, dtype=np.int8).reshape(-1)
if not np.all((source == 0) | (source == 1)):
raise ValueError("encoder bits must be 0 or 1")
state = initial_state
output = np.empty(source.size * 2, dtype=np.int8)
for index, bit_value in enumerate(source):
bit = int(bit_value)
output[2 * index : 2 * index + 2] = self._outputs[state, bit]
state = int(self._next[state, bit])
return output
@@ -0,0 +1,127 @@
"""I/NAV page-part FEC decoding, nominal-page pairing, and CRC validation."""
from __future__ import annotations
from dataclasses import dataclass, field
import numpy as np
from .inav_crc import validate_crc24q
from .inav_deinterleaver import deinterleave_inav
from .inav_fec import FecDecodeResult, InavViterbiDecoder
from .inav_page_sync import INAV_SYNC_BITS, SynchronizedPagePart
ERROR_SYNC = 1 << 0
ERROR_FEC = 1 << 1
ERROR_PAGE_LAYOUT = 1 << 2
ERROR_CRC = 1 << 3
@dataclass(frozen=True, slots=True)
class DecodedPagePart:
source: SynchronizedPagePart
decoded_bits: list[int]
fec_result: FecDecodeResult
@dataclass(frozen=True, slots=True)
class InavPage:
prn: int
page_sequence: int
receive_sample_timestamp: int
raw_symbols: list[int]
decoded_bits: list[int]
word_type: int | None
sync_valid: bool
fec_valid: bool
crc_valid: bool
polarity_inverted: bool
decoder_metric: float
error_flags: int
word_bits: list[int] = field(default_factory=list)
end_sample_timestamp: int = 0
class InavPageDecoder:
def __init__(self, *, soft_decision: bool = True, traceback_depth: int = 35) -> None:
self.soft_decision = bool(soft_decision)
self.viterbi = InavViterbiDecoder(traceback_depth)
self._pending_even: DecodedPagePart | None = None
self._page_sequence = 0
def decode_part(self, part: SynchronizedPagePart) -> DecodedPagePart:
if part.hard_symbols.size != 250 or part.soft_symbols.size != 250:
raise ValueError("a synchronized I/NAV page part must contain 250 symbols")
if np.count_nonzero(part.hard_symbols[:10] != INAV_SYNC_BITS) > part.sync_errors:
raise ValueError("page-part synchronization evidence is internally inconsistent")
if self.soft_decision:
coded = deinterleave_inav(part.soft_symbols[10:])
result = self.viterbi.decode(coded, mode="soft", initial_state=0, terminal_state=0)
else:
coded = deinterleave_inav(part.hard_symbols[10:])
result = self.viterbi.decode(coded, mode="hard", initial_state=0, terminal_state=0)
return DecodedPagePart(part, result.decoded_bits, result)
def push(self, part: SynchronizedPagePart) -> InavPage | None:
decoded = self.decode_part(part)
bits = decoded.decoded_bits
even_odd = bits[0] if len(bits) == 120 else None
if even_odd == 0:
self._pending_even = decoded
return None
if even_odd != 1 or self._pending_even is None:
return None
even = self._pending_even
self._pending_even = None
return self._pair(even, decoded)
def _pair(self, even: DecodedPagePart, odd: DecodedPagePart) -> InavPage:
even_bits = np.asarray(even.decoded_bits, dtype=np.int8)
odd_bits = np.asarray(odd.decoded_bits, dtype=np.int8)
sync_valid = bool(even.source.sync_valid and odd.source.sync_valid)
fec_valid = bool(even.fec_result.valid and odd.fec_result.valid)
layout_valid = bool(
even_bits.size == 120
and odd_bits.size == 120
and np.array_equal(even_bits[:2], [0, 0])
and np.array_equal(odd_bits[:2], [1, 0])
)
word = np.concatenate((even_bits[2:114], odd_bits[2:18])) if layout_valid else np.empty(0, dtype=np.int8)
protected = np.concatenate((even_bits[:114], odd_bits[:82])) if layout_valid else np.empty(0, dtype=np.int8)
crc_valid = bool(layout_valid and validate_crc24q(protected, odd_bits[82:106]))
error_flags = 0
if not sync_valid:
error_flags |= ERROR_SYNC
if not fec_valid:
error_flags |= ERROR_FEC
if not layout_valid:
error_flags |= ERROR_PAGE_LAYOUT
if not crc_valid:
error_flags |= ERROR_CRC
page = InavPage(
prn=even.source.prn,
page_sequence=self._page_sequence,
receive_sample_timestamp=even.source.receive_sample_timestamp,
raw_symbols=np.concatenate((even.source.hard_symbols, odd.source.hard_symbols)).astype(int).tolist(),
decoded_bits=np.concatenate((even_bits, odd_bits)).astype(int).tolist(),
word_type=int(sum(int(bit) << (5 - index) for index, bit in enumerate(word[:6]))) if word.size >= 6 else None,
sync_valid=sync_valid,
fec_valid=fec_valid,
crc_valid=crc_valid,
polarity_inverted=even.source.polarity_inverted,
decoder_metric=float(even.fec_result.path_metric + odd.fec_result.path_metric),
error_flags=error_flags,
word_bits=word.astype(int).tolist(),
end_sample_timestamp=odd.source.end_sample_timestamp,
)
self._page_sequence += 1
return page
def process_many(self, parts: list[SynchronizedPagePart]) -> list[InavPage]:
pages: list[InavPage] = []
for part in parts:
page = self.push(part)
if page is not None:
pages.append(page)
return pages
+141
View File
@@ -0,0 +1,141 @@
"""Robust Galileo I/NAV one-second page-part synchronization."""
from __future__ import annotations
from dataclasses import dataclass
import numpy as np
import numpy.typing as npt
from .e1b_symbol_sync import NavigationSymbol
INAV_SYNC_BITS = np.asarray([0, 1, 0, 1, 1, 0, 0, 0, 0, 0], dtype=np.int8)
INAV_PAGE_PART_SYMBOLS = 250
@dataclass(frozen=True, slots=True)
class SynchronizedPagePart:
prn: int
page_part_sequence: int
receive_sample_timestamp: int
end_sample_timestamp: int
hard_symbols: npt.NDArray[np.int8]
soft_symbols: npt.NDArray[np.float64]
polarity_inverted: bool
sync_errors: int
sync_valid: bool
class InavPageSynchronizer:
"""Require repeated 250-symbol-spaced sync patterns before declaring lock."""
def __init__(self, maximum_sync_errors: int = 0, required_confirmations: int = 2) -> None:
if maximum_sync_errors < 0 or maximum_sync_errors > INAV_SYNC_BITS.size:
raise ValueError("invalid sync error allowance")
if required_confirmations < 2:
raise ValueError("at least two sync patterns are required")
self.maximum_sync_errors = int(maximum_sync_errors)
self.required_confirmations = int(required_confirmations)
self._symbols: list[NavigationSymbol] = []
self._locked_offset: int | None = None
self._polarity_inverted = False
self._next_emit_offset: int | None = None
self._sequence = 0
self._next_search_offset = 0
self.consecutive_failures = 0
self.total_failures = 0
self.sync_confidence = np.float64(0.0)
@property
def locked(self) -> bool:
return self._locked_offset is not None
def reset(self) -> None:
self._locked_offset = None
self._next_emit_offset = None
self.consecutive_failures = 0
self.sync_confidence = np.float64(0.0)
# Never rescan the complete history after a failed candidate. Keep only
# enough overlap to find a sync word crossing the current buffer tail.
self._next_search_offset = max(0, len(self._symbols) - INAV_PAGE_PART_SYMBOLS)
def _errors(self, offset: int, inverted: bool) -> int:
raw = np.asarray([item.hard_value for item in self._symbols[offset : offset + 10]], dtype=np.int8)
expected = 1 - INAV_SYNC_BITS if inverted else INAV_SYNC_BITS
return int(np.count_nonzero(raw != expected))
def _try_acquire(self) -> None:
confirmation_span = (self.required_confirmations - 1) * INAV_PAGE_PART_SYMBOLS + INAV_SYNC_BITS.size
maximum_start = len(self._symbols) - confirmation_span
for offset in range(self._next_search_offset, maximum_start + 1):
self._next_search_offset = offset + 1
if not all(
all(item.valid for item in self._symbols[offset + step * INAV_PAGE_PART_SYMBOLS : offset + step * INAV_PAGE_PART_SYMBOLS + 10])
for step in range(self.required_confirmations)
):
continue
for inverted in (False, True):
errors = [
self._errors(offset + step * INAV_PAGE_PART_SYMBOLS, inverted)
for step in range(self.required_confirmations)
]
if max(errors) <= self.maximum_sync_errors:
self._locked_offset = offset
self._next_emit_offset = offset
self._polarity_inverted = inverted
self.sync_confidence = np.float64(
1.0 - sum(errors) / (self.required_confirmations * INAV_SYNC_BITS.size)
)
return
def _emit_ready(self) -> list[SynchronizedPagePart]:
output: list[SynchronizedPagePart] = []
while self._next_emit_offset is not None:
offset = self._next_emit_offset
if len(self._symbols) < offset + INAV_PAGE_PART_SYMBOLS:
break
errors = self._errors(offset, self._polarity_inverted)
if errors > self.maximum_sync_errors:
self.consecutive_failures += 1
self.total_failures += 1
self.reset()
break
segment = self._symbols[offset : offset + INAV_PAGE_PART_SYMBOLS]
raw_hard = np.asarray([item.hard_value for item in segment], dtype=np.int8)
raw_soft = np.asarray([item.soft_value for item in segment], dtype=np.float64)
if self._polarity_inverted:
raw_hard = 1 - raw_hard
raw_soft = -raw_soft
output.append(
SynchronizedPagePart(
prn=segment[0].prn,
page_part_sequence=self._sequence,
receive_sample_timestamp=segment[0].start_sample_timestamp,
end_sample_timestamp=segment[-1].end_sample_timestamp,
hard_symbols=raw_hard,
soft_symbols=raw_soft,
polarity_inverted=self._polarity_inverted,
sync_errors=errors,
sync_valid=True,
)
)
self._sequence += 1
self._next_emit_offset += INAV_PAGE_PART_SYMBOLS
return output
def push(self, symbol: NavigationSymbol) -> list[SynchronizedPagePart]:
if symbol.inverted:
raise ValueError("symbol polarity must remain unresolved before page synchronization")
if symbol.valid and self._symbols and symbol.start_sample_timestamp != self._symbols[-1].end_sample_timestamp:
self.reset()
self._symbols.append(symbol)
if not self.locked:
self._try_acquire()
return self._emit_ready() if self.locked else []
def process_many(self, symbols: list[NavigationSymbol]) -> list[SynchronizedPagePart]:
output: list[SynchronizedPagePart] = []
for symbol in symbols:
output.extend(self.push(symbol))
return output
@@ -0,0 +1,67 @@
"""Composable prompt-to-navigation pipeline with no simulator-truth input."""
from __future__ import annotations
from dataclasses import dataclass
from .e1b_prompt_stream import E1BPromptEpoch
from .e1b_symbol_sync import E1BSymbolSynchronizer, NavigationSymbol
from .inav_page_decoder import InavPage, InavPageDecoder
from .inav_page_sync import InavPageSynchronizer, SynchronizedPagePart
from .inav_word_parser import InavWordParser, ParsedInavWord
from .navigation_store import NavigationStore
@dataclass(slots=True)
class NavigationPipelineResult:
symbols: list[NavigationSymbol]
page_parts: list[SynchronizedPagePart]
pages: list[InavPage]
words: list[ParsedInavWord]
class InavNavigationPipeline:
def __init__(
self,
prn: int,
*,
store: NavigationStore | None = None,
minimum_symbol_confidence: float = 0.1,
maximum_sync_errors: int = 0,
page_sync_confirmations: int = 2,
viterbi_traceback_depth: int = 35,
) -> None:
self.prn = int(prn)
self.symbol_sync = E1BSymbolSynchronizer(8, minimum_symbol_confidence)
self.page_sync = InavPageSynchronizer(maximum_sync_errors, page_sync_confirmations)
self.page_decoder = InavPageDecoder(soft_decision=True, traceback_depth=viterbi_traceback_depth)
self.word_parser = InavWordParser()
self.store = store or NavigationStore()
def process(self, epochs: list[E1BPromptEpoch]) -> NavigationPipelineResult:
for epoch in epochs:
if epoch.prn != self.prn:
raise ValueError("pipeline received a prompt from a different PRN")
self.store.update_prompt(epoch)
symbols = self.symbol_sync.process_many(epochs)
parts = self.page_sync.process_many(symbols)
self.store.update_synchronizers(
self.prn,
symbol_count=len(symbols),
symbol_locked=self.symbol_sync.axis_epochs >= self.symbol_sync.minimum_axis_epochs,
symbol_loss_count=self.symbol_sync.loss_count,
page_part_count=len(parts),
page_locked=self.page_sync.locked,
page_confidence=float(self.page_sync.sync_confidence),
page_failures=self.page_sync.total_failures,
)
pages = self.page_decoder.process_many(parts)
words: list[ParsedInavWord] = []
for page in pages:
self.store.update_page(page)
if not page.crc_valid or page.word_type not in range(1, 7):
continue
word = self.word_parser.parse(page)
self.store.update_word(word)
words.append(word)
return NavigationPipelineResult(symbols, parts, pages, words)
@@ -0,0 +1,233 @@
"""Typed Galileo I/NAV word parsers based on OS SIS ICD 2.2 Tables 42-47."""
from __future__ import annotations
from dataclasses import dataclass
from math import pi
from typing import TypeAlias
import numpy as np
from .inav_page_decoder import InavPage
def _uint(bits: np.ndarray, start: int, width: int) -> int:
value = 0
for bit in bits[start : start + width]:
value = (value << 1) | int(bit)
return value
def _sint(bits: np.ndarray, start: int, width: int) -> int:
value = _uint(bits, start, width)
return value - (1 << width) if value & (1 << (width - 1)) else value
@dataclass(frozen=True, slots=True)
class EphemerisWord1:
iod_nav: int
toe_raw: int
toe_s: float
mean_anomaly_raw: int
mean_anomaly_rad: float
eccentricity_raw: int
eccentricity: float
sqrt_a_raw: int
sqrt_a: float
@dataclass(frozen=True, slots=True)
class EphemerisWord2:
iod_nav: int
omega0_raw: int
omega0_rad: float
inclination_raw: int
inclination_rad: float
argument_of_perigee_raw: int
argument_of_perigee_rad: float
inclination_rate_raw: int
inclination_rate_rad_s: float
@dataclass(frozen=True, slots=True)
class EphemerisWord3:
iod_nav: int
omega_dot_raw: int
omega_dot_rad_s: float
delta_n_raw: int
delta_n_rad_s: float
cuc_raw: int
cuc_rad: float
cus_raw: int
cus_rad: float
crc_raw: int
crc_m: float
crs_raw: int
crs_m: float
sisa_index: int
@dataclass(frozen=True, slots=True)
class EphemerisClockWord4:
iod_nav: int
svid: int
cic_raw: int
cic_rad: float
cis_raw: int
cis_rad: float
toc_raw: int
toc_s: float
clock_bias_raw: int
clock_bias_s: float
clock_drift_raw: int
clock_drift_s_per_s: float
clock_drift_rate_raw: int
clock_drift_rate_s_per_s2: float
@dataclass(frozen=True, slots=True)
class IonosphereHealthTimeWord5:
ai0_raw: int
ai0_sfu: float
ai1_raw: int
ai1_sfu_per_degree: float
ai2_raw: int
ai2_sfu_per_degree2: float
disturbance_flags: tuple[bool, bool, bool, bool, bool]
bgd_e1_e5a_raw: int
bgd_e1_e5a_s: float
bgd_e1_e5b_raw: int
bgd_e1_e5b_s: float
e5b_health: int
e1b_health: int
e5b_data_validity_status: int
e1b_data_validity_status: int
week_number: int
time_of_week_s: int
@dataclass(frozen=True, slots=True)
class GstUtcWord6:
a0_raw: int
a0_s: float
a1_raw: int
a1_s_per_s: float
delta_tls_s: int
reference_time_s: int
reference_week_mod256: int
leap_week_mod256: int
leap_day: int
future_delta_tls_s: int
time_of_week_s: int
CriticalInavPayload: TypeAlias = (
EphemerisWord1
| EphemerisWord2
| EphemerisWord3
| EphemerisClockWord4
| IonosphereHealthTimeWord5
| GstUtcWord6
)
@dataclass(frozen=True, slots=True)
class ParsedInavWord:
prn: int
word_type: int
receive_sample_timestamp: int
iod_nav: int | None
payload: CriticalInavPayload
raw_bits: list[int]
crc_valid: bool
health_valid: bool
class InavWordParser:
"""Parse the critical word types needed before a future PVT stage."""
def parse(self, page: InavPage) -> ParsedInavWord:
if not page.crc_valid:
raise ValueError("CRC-invalid pages cannot update parsed navigation data")
bits = np.asarray(page.word_bits, dtype=np.int8)
if bits.size != 128 or not np.all((bits == 0) | (bits == 1)):
raise ValueError("I/NAV nominal word must contain 128 bits")
word_type = _uint(bits, 0, 6)
payload: CriticalInavPayload
iod_nav: int | None = None
health_valid = True
if word_type == 1:
iod_nav = _uint(bits, 6, 10)
m0 = _sint(bits, 30, 32)
payload = EphemerisWord1(
iod_nav, _uint(bits, 16, 14), float(np.float64(_uint(bits, 16, 14) * 60.0)),
m0, float(np.float64(m0 * 2.0**-31 * pi)),
_uint(bits, 62, 32), float(np.float64(_uint(bits, 62, 32) * 2.0**-33)),
_uint(bits, 94, 32), float(np.float64(_uint(bits, 94, 32) * 2.0**-19)),
)
elif word_type == 2:
iod_nav = _uint(bits, 6, 10)
omega0, inclination, perigee, rate = (
_sint(bits, 16, 32), _sint(bits, 48, 32), _sint(bits, 80, 32), _sint(bits, 112, 14)
)
payload = EphemerisWord2(
iod_nav, omega0, float(np.float64(omega0 * 2.0**-31 * pi)),
inclination, float(np.float64(inclination * 2.0**-31 * pi)),
perigee, float(np.float64(perigee * 2.0**-31 * pi)),
rate, float(np.float64(rate * 2.0**-43 * pi)),
)
elif word_type == 3:
iod_nav = _uint(bits, 6, 10)
odot, dn = _sint(bits, 16, 24), _sint(bits, 40, 16)
cuc, cus, crc_value, crs = (
_sint(bits, 56, 16), _sint(bits, 72, 16), _sint(bits, 88, 16), _sint(bits, 104, 16)
)
payload = EphemerisWord3(
iod_nav, odot, float(np.float64(odot * 2.0**-43 * pi)),
dn, float(np.float64(dn * 2.0**-43 * pi)),
cuc, float(np.float64(cuc * 2.0**-29)), cus, float(np.float64(cus * 2.0**-29)),
crc_value, float(np.float64(crc_value * 2.0**-5)), crs, float(np.float64(crs * 2.0**-5)),
_uint(bits, 120, 8),
)
elif word_type == 4:
iod_nav = _uint(bits, 6, 10)
cic, cis = _sint(bits, 22, 16), _sint(bits, 38, 16)
af0, af1, af2 = _sint(bits, 68, 31), _sint(bits, 99, 21), _sint(bits, 120, 6)
payload = EphemerisClockWord4(
iod_nav, _uint(bits, 16, 6), cic, float(np.float64(cic * 2.0**-29)),
cis, float(np.float64(cis * 2.0**-29)), _uint(bits, 54, 14),
float(np.float64(_uint(bits, 54, 14) * 60.0)), af0, float(np.float64(af0 * 2.0**-34)),
af1, float(np.float64(af1 * 2.0**-46)), af2, float(np.float64(af2 * 2.0**-59)),
)
elif word_type == 5:
ai0, ai1, ai2 = _uint(bits, 6, 11), _sint(bits, 17, 11), _sint(bits, 28, 14)
bgd_a, bgd_b = _sint(bits, 47, 10), _sint(bits, 57, 10)
e1b_health, e1b_dvs = _uint(bits, 69, 2), _uint(bits, 72, 1)
health_valid = e1b_health == 0 and e1b_dvs == 0
payload = IonosphereHealthTimeWord5(
ai0, float(np.float64(ai0 * 2.0**-2)), ai1, float(np.float64(ai1 * 2.0**-8)),
ai2, float(np.float64(ai2 * 2.0**-15)),
tuple(bool(_uint(bits, 42 + index, 1)) for index in range(5)),
bgd_a, float(np.float64(bgd_a * 2.0**-32)), bgd_b, float(np.float64(bgd_b * 2.0**-32)),
_uint(bits, 67, 2), e1b_health, _uint(bits, 71, 1), e1b_dvs,
_uint(bits, 73, 12), _uint(bits, 85, 20),
)
elif word_type == 6:
a0, a1 = _sint(bits, 6, 32), _sint(bits, 38, 24)
payload = GstUtcWord6(
a0, float(np.float64(a0 * 2.0**-30)), a1, float(np.float64(a1 * 2.0**-50)),
_sint(bits, 62, 8), _uint(bits, 70, 8) * 3600, _uint(bits, 78, 8),
_uint(bits, 86, 8), _uint(bits, 94, 3), _sint(bits, 97, 8), _uint(bits, 105, 20),
)
else:
raise NotImplementedError(f"I/NAV word type {word_type} is not a critical pre-PVT word")
return ParsedInavWord(
prn=page.prn,
word_type=word_type,
receive_sample_timestamp=page.receive_sample_timestamp,
iod_nav=iod_nav,
payload=payload,
raw_bits=bits.astype(int).tolist(),
crc_valid=True,
health_valid=health_valid,
)
@@ -0,0 +1,135 @@
"""Per-PRN navigation decoder state and pre-PVT readiness queries."""
from __future__ import annotations
from dataclasses import dataclass, field
from .e1b_prompt_stream import E1BPromptEpoch
from .galileo_time import GalileoSystemTime, GalileoTimeRecovery
from .inav_ephemeris_assembler import GalileoEphemeris, InavEphemerisAssembler
from .inav_page_decoder import InavPage
from .inav_word_parser import EphemerisClockWord4, ParsedInavWord
@dataclass(slots=True)
class DecoderStatus:
prompt_epochs: int = 0
symbols: int = 0
synchronized_page_parts: int = 0
pages: int = 0
crc_passes: int = 0
crc_failures: int = 0
fec_failures: int = 0
cycle_slips: int = 0
sample_discontinuities: int = 0
word_types: set[int] = field(default_factory=set)
symbol_sync_locked: bool = False
symbol_sync_losses: int = 0
page_sync_locked: bool = False
page_sync_confidence: float = 0.0
page_sync_failures: int = 0
@dataclass(slots=True)
class _SatelliteNavigation:
assembler: InavEphemerisAssembler
status: DecoderStatus = field(default_factory=DecoderStatus)
last_prompt: E1BPromptEpoch | None = None
last_valid_page: InavPage | None = None
page_history: list[InavPage] = field(default_factory=list)
word_history: list[ParsedInavWord] = field(default_factory=list)
class NavigationStore:
def __init__(self) -> None:
self._satellites: dict[int, _SatelliteNavigation] = {}
self.time_recovery = GalileoTimeRecovery()
def _state(self, prn: int) -> _SatelliteNavigation:
if prn <= 0:
raise ValueError("PRN must be positive")
return self._satellites.setdefault(prn, _SatelliteNavigation(InavEphemerisAssembler(prn)))
def update_prompt(self, epoch: E1BPromptEpoch) -> None:
state = self._state(epoch.prn)
state.last_prompt = epoch
state.status.prompt_epochs += 1
state.status.cycle_slips += int(epoch.cycle_slip)
state.status.sample_discontinuities += int(epoch.sample_discontinuity)
def update_page(self, page: InavPage) -> None:
state = self._state(page.prn)
state.page_history.append(page)
state.status.pages += 1
state.status.fec_failures += int(not page.fec_valid)
if page.crc_valid:
state.status.crc_passes += 1
state.last_valid_page = page
else:
state.status.crc_failures += 1
def update_synchronizers(
self,
prn: int,
*,
symbol_count: int,
symbol_locked: bool,
symbol_loss_count: int,
page_part_count: int,
page_locked: bool,
page_confidence: float,
page_failures: int,
) -> None:
state = self._state(prn)
state.status.symbols += int(symbol_count)
state.status.synchronized_page_parts += int(page_part_count)
state.status.symbol_sync_locked = bool(symbol_locked)
state.status.symbol_sync_losses = int(symbol_loss_count)
state.status.page_sync_locked = bool(page_locked)
state.status.page_sync_confidence = float(page_confidence)
state.status.page_sync_failures = int(page_failures)
def update_word(self, word: ParsedInavWord) -> GalileoEphemeris | None:
state = self._state(word.prn)
state.word_history.append(word)
state.status.word_types.add(word.word_type)
ephemeris = state.assembler.update(word)
self.time_recovery.update(word)
return ephemeris
def has_complete_ephemeris(self, prn: int) -> bool:
return self._state(prn).assembler.current is not None
def get_ephemeris(self, prn: int) -> GalileoEphemeris | None:
return self._state(prn).assembler.current
def get_clock_parameters(self, prn: int) -> EphemerisClockWord4 | None:
for word in reversed(self._state(prn).word_history):
if isinstance(word.payload, EphemerisClockWord4):
return word.payload
return None
def get_time_solution(self) -> GalileoSystemTime | None:
return self.time_recovery.current
def get_decoder_status(self, prn: int) -> DecoderStatus:
return self._state(prn).status
def get_missing_ephemeris_words(self, prn: int) -> set[int]:
return self._state(prn).assembler.missing_word_types()
def navigation_ready(
self,
minimum_satellites: int = 4,
require_time: bool = True,
require_healthy: bool = True,
) -> bool:
usable = 0
for state in self._satellites.values():
ephemeris = state.assembler.current
if ephemeris is None:
continue
if require_healthy and not (ephemeris.health_valid and ephemeris.data_valid):
continue
usable += 1
return usable >= minimum_satellites and (not require_time or self.time_recovery.current is not None)
+11 -3
View File
@@ -19,8 +19,9 @@ class LockStatus:
class LockDetector:
def __init__(self, failure_limit: int = 10) -> None:
def __init__(self, failure_limit: int = 10, *, data_sign_insensitive: bool = False) -> None:
self.failure_limit = failure_limit
self.data_sign_insensitive = data_sign_insensitive
self.failures = 0
self.previous_phase: float | None = None
@@ -29,11 +30,18 @@ class LockDetector:
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
phase_delta = float(np.angle(np.exp(1j * (phase - self.previous_phase)))) if self.previous_phase is not None else 0.0
slip_threshold_rad = 0.9 * np.pi
if self.data_sign_insensitive:
# A legitimate BPSK navigation-symbol transition is a pi phase
# reversal, not a carrier cycle slip. Doubling phase removes that
# ambiguity before applying the slip detector.
phase_delta = 0.5 * float(np.angle(np.exp(2j * phase_delta)))
slip_threshold_rad = 0.45 * np.pi
cycle_slip = self.previous_phase is not None and abs(phase_delta) > slip_threshold_rad
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)
+15 -1
View File
@@ -65,7 +65,10 @@ class TrackingChannel:
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.lock_detector = LockDetector(
config.loss_of_lock_epochs,
data_sign_insensitive=self.component_spec.channel_type == "data",
)
self.cn0_estimator = Cn0Estimator(
config.integration_ms * 1e-3,
data_sign_insensitive=self.component_spec.channel_type == "data",
@@ -87,6 +90,7 @@ class TrackingChannel:
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)))
)
self.next_sample_timestamp = int(start_sample_index)
def _secondary_sign(self) -> int:
if self.component_spec.channel_type != "pilot" or self.config.secondary_code_mode == "none":
@@ -141,6 +145,8 @@ class TrackingChannel:
self.state = TrackingState.REACQUISITION
elif cn0 is not None and cn0 < self.config.weak_signal_cn0_db_hz:
self.state = TrackingState.WEAK_SIGNAL
start_sample_timestamp = self.next_sample_timestamp
end_sample_timestamp = start_sample_timestamp + self.integration_samples
measurement = TrackingMeasurement(
epoch=self.epoch,
time_s=(self.epoch + 1) * dt_s,
@@ -162,9 +168,17 @@ class TrackingChannel:
cycle_slip=lock.cycle_slip,
side_peak_suspected=lock.side_peak_suspected,
reacquisition_requested=reacquire,
start_sample_timestamp=start_sample_timestamp,
end_sample_timestamp=end_sample_timestamp,
carrier_phase_cycles=self.carrier_nco.phase_rad / (2.0 * np.pi),
carrier_lock=lock.carrier_metric > 0.55,
code_lock=lock.code_metric > 0.5,
sample_discontinuity=False,
valid=not reacquire,
)
self.previous_prompt = correlators.prompt
self.measurements.append(measurement)
self.next_sample_timestamp = end_sample_timestamp
self.epoch += 1
return measurement
+7 -1
View File
@@ -76,6 +76,13 @@ class TrackingMeasurement:
cycle_slip: bool = False
side_peak_suspected: bool = False
reacquisition_requested: bool = False
start_sample_timestamp: int = 0
end_sample_timestamp: int = 0
carrier_phase_cycles: float = 0.0
carrier_lock: bool = False
code_lock: bool = False
sample_discontinuity: bool = False
valid: bool = True
@dataclass(slots=True)
@@ -99,4 +106,3 @@ class GenerationTruth:
start_sample: int
sample_count: int
satellites: list[SatelliteTruth]
+234
View File
@@ -0,0 +1,234 @@
"""Post-decode comparison with SignalSim's RINEX source (never decoder input)."""
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime, timezone
import json
from math import pi
from pathlib import Path
import re
from typing import Any
_FLOAT = re.compile(r"[ +-]\d\.\d+[DE][+-]\d+")
@dataclass(frozen=True, slots=True)
class RinexGalileoEphemeris:
prn: int
epoch: str
iod_nav: int
toe_s: float
toc_s: float
mean_anomaly_rad: float
delta_n_rad_s: float
eccentricity: float
sqrt_a: float
omega0_rad: float
inclination_rad: float
argument_of_perigee_rad: float
omega_dot_rad_s: float
inclination_rate_rad_s: float
cuc_rad: float
cus_rad: float
crc_m: float
crs_m: float
cic_rad: float
cis_rad: float
clock_bias_s: float
clock_drift_s_per_s: float
clock_drift_rate_s_per_s2: float
health: int
data_source: int
def _numbers(line: str) -> list[float]:
return [float(item.replace("D", "E")) for item in _FLOAT.findall(line)]
def load_galileo_rinex(path: str | Path) -> list[RinexGalileoEphemeris]:
lines = Path(path).read_text(encoding="ascii", errors="strict").splitlines()
index = next(i for i, line in enumerate(lines) if "END OF HEADER" in line) + 1
records: list[RinexGalileoEphemeris] = []
while index < len(lines):
header = lines[index]
if not header.startswith("E") or index + 7 >= len(lines):
index += 1
continue
clock = _numbers(header[22:])
continuation = [_numbers(lines[index + offset]) for offset in range(1, 8)]
index += 8
if (
len(clock) != 3
or any(len(row) < 4 for row in continuation[:4])
or len(continuation[4]) < 3
or len(continuation[5]) < 4
or not continuation[6]
):
continue
line1, line2, line3, line4, line5, line6, _line7 = continuation
records.append(
RinexGalileoEphemeris(
prn=int(header[1:3]), epoch=header[4:23].strip(), iod_nav=int(round(line1[0])),
toe_s=line3[0], toc_s=line3[0], mean_anomaly_rad=line1[3], delta_n_rad_s=line1[2],
eccentricity=line2[1], sqrt_a=line2[3], omega0_rad=line3[2], inclination_rad=line4[0],
argument_of_perigee_rad=line4[2], omega_dot_rad_s=line4[3], inclination_rate_rad_s=line5[0],
cuc_rad=line2[0], cus_rad=line2[2], crc_m=line4[1], crs_m=line1[1], cic_rad=line3[1], cis_rad=line3[3],
clock_bias_s=clock[0], clock_drift_s_per_s=clock[1], clock_drift_rate_s_per_s2=clock[2],
health=int(round(line6[1])), data_source=int(round(line5[1])),
)
)
return records
_STEPS = {
"toe_s": 60.0, "toc_s": 60.0,
"mean_anomaly_rad": pi * 2.0**-31, "eccentricity": 2.0**-33, "sqrt_a": 2.0**-19,
"omega0_rad": pi * 2.0**-31, "inclination_rad": pi * 2.0**-31,
"argument_of_perigee_rad": pi * 2.0**-31, "inclination_rate_rad_s": pi * 2.0**-43,
"omega_dot_rad_s": pi * 2.0**-43, "delta_n_rad_s": pi * 2.0**-43,
"cuc_rad": 2.0**-29, "cus_rad": 2.0**-29, "crc_m": 2.0**-5, "crs_m": 2.0**-5,
"cic_rad": 2.0**-29, "cis_rad": 2.0**-29,
"clock_bias_s": 2.0**-34, "clock_drift_s_per_s": 2.0**-46,
"clock_drift_rate_s_per_s2": 2.0**-59,
}
def compare_navigation_truth(
artifact_root: str | Path,
rinex_path: str | Path,
output_root: str | Path,
*,
collection_report_path: str | Path | None = None,
signalsim_config_path: str | Path | None = None,
) -> tuple[dict[str, Any], bool]:
"""Compare only after artifact decoding has completed."""
artifacts = Path(artifact_root)
records = load_galileo_rinex(rinex_path)
comparisons: dict[int, Any] = {}
overall = True
for ephemeris_path in sorted(artifacts.glob("prn_*/ephemeris.json")):
decoded = json.loads(ephemeris_path.read_text(encoding="utf-8"))
prn, iod, toe = int(decoded["prn"]), int(decoded["iod_nav"]), float(decoded["toe_s"])
# SignalSim's FindEphemeris defaults to I/NAV source (data-source bit
# 1 clear), minimum |toe-current time|, and the last record on ties.
candidates = [
item for item in records
if item.prn == prn and item.iod_nav == iod and item.toe_s == toe and not (item.data_source & 0x2)
]
if not candidates:
comparisons[prn] = {"pass": False, "error": "no matching I/NAV RINEX record"}
overall = False
continue
truth = candidates[-1]
fields: dict[str, Any] = {}
for field, step in _STEPS.items():
decoded_value = float(decoded[field])
truth_value = float(getattr(truth, field))
error = abs(decoded_value - truth_value)
passed = error <= 0.500001 * step
fields[field] = {
"decoded_raw_integer": int(round(decoded_value / step)),
"decoded_scaled_value": decoded_value,
"simulator_truth_value": truth_value,
"absolute_error": error,
"expected_quantization_step": step,
"pass": passed,
}
overall &= passed
iod_pass = iod == truth.iod_nav
fields["iod_nav"] = {
"decoded_raw_integer": iod, "decoded_scaled_value": iod,
"simulator_truth_value": truth.iod_nav, "absolute_error": abs(iod - truth.iod_nav),
"expected_quantization_step": 1, "pass": iod_pass,
}
health_pass = bool(decoded["health_valid"] and decoded["data_valid"] and truth.health == 0)
fields["health"] = {
"decoded_raw_integer": 0 if decoded["health_valid"] else 1,
"decoded_scaled_value": bool(decoded["health_valid"]),
"simulator_truth_value": truth.health,
"absolute_error": 0 if health_pass else 1,
"expected_quantization_step": 1,
"pass": health_pass,
}
sat_pass = all(item["pass"] for item in fields.values())
overall &= sat_pass
comparisons[prn] = {"rinex_epoch": truth.epoch, "fields": fields, "pass": sat_pass}
time_comparison: dict[str, Any] | None = None
if collection_report_path is not None and signalsim_config_path is not None:
collection = json.loads(Path(collection_report_path).read_text(encoding="utf-8"))
simulator_cfg = json.loads(Path(signalsim_config_path).read_text(encoding="utf-8"))
decoded_time = collection.get("galileo_time")
if decoded_time is not None:
start = simulator_cfg["time"]
start_utc = datetime(
int(start["year"]), int(start["month"]), int(start["day"]),
int(start["hour"]), int(start["minute"]), int(start["second"]),
tzinfo=timezone.utc,
)
leap_seconds = _rinex_leap_seconds(rinex_path)
gps_epoch = datetime(1980, 1, 6, tzinfo=timezone.utc)
gps_total_s = (start_utc - gps_epoch).total_seconds() + leap_seconds
gps_week = int(gps_total_s // 604800.0)
page_offset_s = (
int(decoded_time["page_start_sample_timestamp"])
/ float(collection["sampling_frequency_hz"])
)
expected_week = gps_week - 1024
expected_tow_s = int((gps_total_s % 604800.0) + page_offset_s)
week_error = abs(int(decoded_time["week_number"]) - expected_week)
tow_error_s = abs(int(decoded_time["time_of_week_s"]) - expected_tow_s)
# The broadcast field is integral seconds; an unmodelled signal
# propagation delay can move a boundary comparison by one second.
time_pass = week_error == 0 and tow_error_s <= 1
time_comparison = {
"decoded_week_number": int(decoded_time["week_number"]),
"simulator_truth_week_number": expected_week,
"week_absolute_error": week_error,
"decoded_time_of_week_s": int(decoded_time["time_of_week_s"]),
"simulator_truth_time_of_week_s": expected_tow_s,
"time_of_week_absolute_error_s": tow_error_s,
"expected_quantization_step_s": 1,
"leap_seconds_from_rinex": leap_seconds,
"pass": time_pass,
}
overall &= time_pass
report = {
"comparison_stage": "post_decode_only",
"truth_injected_into_decoder": False,
"rinex_source": str(Path(rinex_path).resolve()),
"satellites": comparisons,
"galileo_time": time_comparison,
"overall_pass": overall and len(comparisons) >= 4,
}
output = Path(output_root)
output.mkdir(parents=True, exist_ok=True)
(output / "inav_truth_comparison.json").write_text(json.dumps(report, indent=2) + "\n", encoding="utf-8")
markdown = [
"# I/NAV decoded-field truth comparison", "",
"Truth was applied only after standalone RF-to-page decoding and ephemeris assembly.", "",
"| PRN | RINEX epoch | Fields | Result |", "| --: | --- | --: | ---: |",
]
for prn, item in comparisons.items():
markdown.append(f"| {prn} | {item.get('rinex_epoch', 'N/A')} | {len(item.get('fields', {}))} | {'PASS' if item['pass'] else 'FAIL'} |")
if time_comparison is not None:
markdown.extend([
"", "## Galileo system time", "",
f"Decoded GST week/TOW: {time_comparison['decoded_week_number']}/"
f"{time_comparison['decoded_time_of_week_s']} s; independently expected "
f"{time_comparison['simulator_truth_week_number']}/"
f"{time_comparison['simulator_truth_time_of_week_s']} s. "
f"Result: **{'PASS' if time_comparison['pass'] else 'FAIL'}**.",
])
(output / "inav_truth_comparison.md").write_text("\n".join(markdown) + "\n", encoding="utf-8")
return report, bool(report["overall_pass"])
def _rinex_leap_seconds(path: str | Path) -> int:
for line in Path(path).read_text(encoding="ascii", errors="strict").splitlines():
if "LEAP SECONDS" in line:
return int(line[:6])
if "END OF HEADER" in line:
break
raise ValueError("RINEX header has no LEAP SECONDS record")
@@ -543,13 +543,16 @@ def validate_signalsim(source_path: str | Path, config_path: str | Path, output_
"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",
"Quick validation stops at raw E1B symbols; use collect-navigation for full I/NAV decoding",
"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"
project_reports = (project_root / "reports").resolve()
# Test callers normally select a temporary output directory. Keep every
# generated artifact there instead of mutating checked-in baseline reports.
reports_root = project_reports if out.is_relative_to(project_reports) else out
reports_root.mkdir(parents=True, exist_ok=True)
acquisition_report = {
"simulator": report["simulator"],
+1
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@@ -0,0 +1 @@
"""Galileo receiver test package."""
@@ -0,0 +1,22 @@
from __future__ import annotations
import json
from pathlib import Path
import pytest
@pytest.mark.signalsim
def test_four_satellites_are_navigation_ready_without_truth_inputs() -> None:
path = Path("reports/navigation_run/inav_collection_report.json")
if not path.is_file():
pytest.skip("SignalSim multi-satellite navigation collection report is unavailable")
report = json.loads(path.read_text(encoding="utf-8"))
assert report["decoder_truth_inputs"] == []
ready = [
item for item in report["satellites"].values()
if item["complete_ephemeris"] and item["clock_parameters"] and item["health_valid"] and item["data_valid"]
]
assert len(ready) >= 4
assert report["galileo_time"]["valid"] is True
assert report["navigation_ready"] is True
@@ -0,0 +1,20 @@
from __future__ import annotations
import json
from pathlib import Path
import pytest
@pytest.mark.signalsim
def test_signalsim_decoded_ephemerides_match_rinex_truth_within_quantization() -> None:
path = Path("reports/inav_truth_comparison.json")
if not path.is_file():
pytest.skip("post-decode SignalSim truth-comparison report is unavailable")
report = json.loads(path.read_text(encoding="utf-8"))
assert report["truth_injected_into_decoder"] is False
assert report["overall_pass"] is True
assert len(report["satellites"]) >= 4
assert all(item["pass"] for item in report["satellites"].values())
assert report["galileo_time"]["pass"] is True
assert report["galileo_time"]["time_of_week_absolute_error_s"] <= 1
@@ -0,0 +1,19 @@
from __future__ import annotations
from pathlib import Path
import pytest
from galileo_rx.navigation.decoder_diagnostics import load_prompt_epochs
from galileo_rx.navigation.inav_pipeline import InavNavigationPipeline
@pytest.mark.signalsim
def test_signalsim_prompts_produce_crc_valid_inav_pages() -> None:
path = Path("verification/navigation/signalsim_navigation_multisat/prn_01/prompt_epochs.npz")
if not path.is_file():
pytest.skip("SignalSim navigation prompt artifact is unavailable; run collect-navigation first")
decoded = InavNavigationPipeline(1).process(load_prompt_epochs(path, 1))
assert len(decoded.pages) == 15
assert all(page.sync_valid and page.fec_valid and page.crc_valid for page in decoded.pages)
assert {word.word_type for word in decoded.words} == {1, 2, 3, 4, 5, 6}
@@ -0,0 +1,23 @@
from __future__ import annotations
from pathlib import Path
import numpy as np
import pytest
from galileo_rx.navigation.decoder_diagnostics import load_prompt_epochs
from galileo_rx.navigation.e1b_symbol_sync import E1BSymbolSynchronizer
@pytest.mark.signalsim
def test_signalsim_prompt_artifact_recovers_soft_and_hard_symbols() -> None:
path = Path("verification/navigation/signalsim_navigation_multisat/prn_01/prompt_epochs.npz")
if not path.is_file():
pytest.skip("SignalSim navigation prompt artifact is unavailable; run collect-navigation first")
prompts = load_prompt_epochs(path, 1)
symbols = E1BSymbolSynchronizer(8, 0.1).process_many(prompts)
soft = np.asarray([item.soft_value for item in symbols], dtype=np.float64)
assert soft.dtype == np.float64
assert len(symbols) == 8044
assert np.count_nonzero([item.valid for item in symbols]) > 7500
assert {item.hard_value for item in symbols} == {0, 1}
+1
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@@ -0,0 +1 @@
"""Navigation decoder tests."""
+19
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@@ -0,0 +1,19 @@
from __future__ import annotations
import numpy as np
from galileo_rx.navigation.inav_crc import crc24q, validate_crc24q
def test_crc24q_independent_check_value() -> None:
bits = np.unpackbits(np.frombuffer(b"123456789", dtype=np.uint8), bitorder="big")
assert crc24q(bits) == 0xCDE703
def test_crc_rejects_one_bit_error() -> None:
protected = np.asarray([0, 1, 1, 0, 1] * 39 + [1], dtype=np.int8)
value = crc24q(protected)
crc_bits = np.asarray([(value >> shift) & 1 for shift in range(23, -1, -1)], dtype=np.int8)
assert validate_crc24q(protected, crc_bits)
protected[17] ^= 1
assert not validate_crc24q(protected, crc_bits)
+25
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@@ -0,0 +1,25 @@
from __future__ import annotations
import numpy as np
from galileo_rx.navigation.inav_deinterleaver import deinterleave_inav
# Independent numerical example from OS SIS ICD 2.2 Annex D.2.
ENCODED = (
"1000110000011010101010100111001100110001010110100110111101011001"
"0111100010010101010101011000110011001110101001011001000010100110"
"1000010000000010000000100001101110011001111010110101110000011000"
"101110111111110111111101111001000101001100100010"
)
INTERLEAVED = (
"1010000001011111100011001111000001011110101000000001100111100011"
"1010100001010000010011110101011101111000100001101111101011100111"
"1001100000011111111000100000100111110110000010011100011101100000"
"100101110100100011000110110110010000011100111010"
)
def test_icd_annex_d2_deinterleaving_vector() -> None:
output = deinterleave_inav(np.fromiter(map(int, INTERLEAVED), dtype=np.int8))
assert "".join(map(str, output)) == ENCODED
@@ -0,0 +1,60 @@
from __future__ import annotations
from galileo_rx.navigation.inav_ephemeris_assembler import InavEphemerisAssembler
from galileo_rx.navigation.inav_word_parser import (
EphemerisClockWord4, EphemerisWord1, EphemerisWord2, EphemerisWord3,
IonosphereHealthTimeWord5, ParsedInavWord,
)
def _word(prn: int, kind: int, iod: int, timestamp: int) -> ParsedInavWord:
if kind == 1:
payload = EphemerisWord1(iod, 1, 60.0, 1, 0.1, 1, 0.01, 1, 5000.0)
elif kind == 2:
payload = EphemerisWord2(iod, 1, 0.2, 1, 0.3, 1, 0.4, 1, 0.01)
elif kind == 3:
payload = EphemerisWord3(iod, 1, 0.01, 1, 0.01, 1, 0.01, 1, 0.01, 1, 1.0, 1, 1.0, 10)
else:
payload = EphemerisClockWord4(iod, prn, 1, 0.01, 1, 0.01, 1, 60.0, 1, 0.1, 1, 0.01, 1, 0.001)
return ParsedInavWord(prn, kind, timestamp, iod, payload, [], True, True)
def _health(prn: int) -> ParsedInavWord:
payload = IonosphereHealthTimeWord5(0, 0.0, 0, 0.0, 0, 0.0, (False,) * 5, 0, 0.0, 0, 0.0, 0, 0, 0, 0, 10, 20)
return ParsedInavWord(prn, 5, 0, None, payload, [], True, True)
def test_assembler_rejects_mixed_iod_and_commits_atomically() -> None:
assembler = InavEphemerisAssembler(3)
assembler.update(_health(3))
for kind in (1, 2, 3):
assert assembler.update(_word(3, kind, 5, kind)) is None
assert assembler.update(_word(3, 4, 6, 4)) is None
assert assembler.current is None
complete = assembler.update(_word(3, 4, 5, 5))
assert complete is not None and complete.iod_nav == 5
assert complete.health_valid and complete.data_valid
assert assembler.missing_word_types() == set()
def test_previous_ephemeris_survives_incomplete_update() -> None:
assembler = InavEphemerisAssembler(3)
assembler.update(_health(3))
for kind in (1, 2, 3, 4):
assembler.update(_word(3, kind, 5, kind))
current = assembler.current
assembler.update(_word(3, 1, 6, 10))
assert assembler.current is current
def test_stale_partial_set_is_expired_without_replacing_valid_ephemeris() -> None:
assembler = InavEphemerisAssembler(3, max_partial_age_samples=10)
assembler.update(_health(3))
for kind in (1, 2, 3, 4):
assembler.update(_word(3, kind, 5, kind))
current = assembler.current
assembler.update(_word(3, 1, 6, 20))
assembler.update(_word(3, 2, 7, 40))
assert assembler.stale_partial_sets == 1
assert assembler.current is current
assert assembler.missing_word_types() == set()
+17
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@@ -0,0 +1,17 @@
from __future__ import annotations
from galileo_rx.navigation.navigation_store import NavigationStore
from tests.navigation.test_ephemeris_assembler import _health, _word
def test_navigation_readiness_requires_four_complete_healthy_satellites() -> None:
store = NavigationStore()
for prn in range(1, 5):
store.update_word(_health(prn))
for kind in (1, 2, 3, 4):
store.update_word(_word(prn, kind, prn, prn * 10 + kind))
assert store.navigation_ready(minimum_satellites=4, require_time=True)
assert store.navigation_ready(minimum_satellites=4, require_time=False)
assert store.get_time_solution() is not None
assert store.has_complete_ephemeris(4)
assert store.get_clock_parameters(2) is not None
+54
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@@ -0,0 +1,54 @@
from __future__ import annotations
import numpy as np
from galileo_rx.navigation.e1b_symbol_sync import NavigationSymbol
from galileo_rx.navigation.inav_page_sync import INAV_SYNC_BITS, InavPageSynchronizer
def _symbols(bits: np.ndarray, *, invert: bool = False, prefix: int = 17) -> list[NavigationSymbol]:
raw = np.concatenate((np.zeros(prefix, dtype=np.int8), bits))
if invert:
raw = 1 - raw
return [NavigationSymbol(1, i, i * 4, (i + 1) * 4, 1.0 if bit else -1.0, int(bit), 1.0, False, True) for i, bit in enumerate(raw)]
def test_page_sync_rejects_wrong_boundary_and_requires_repetition() -> None:
rng = np.random.default_rng(4)
part = np.concatenate((INAV_SYNC_BITS, rng.integers(0, 2, 240, dtype=np.int8)))
stream = _symbols(np.tile(part, 3))
sync = InavPageSynchronizer(required_confirmations=2)
first = sync.process_many(stream[:267])
assert first == []
output = sync.process_many(stream[267:])
assert len(output) == 3
assert all(item.sync_valid for item in output)
def test_page_sync_records_global_inversion() -> None:
body = np.zeros(240, dtype=np.int8)
parts = InavPageSynchronizer().process_many(_symbols(np.tile(np.concatenate((INAV_SYNC_BITS, body)), 3), invert=True))
assert len(parts) == 3
assert all(item.polarity_inverted for item in parts)
assert np.array_equal(parts[0].hard_symbols[:10], INAV_SYNC_BITS)
def test_page_sync_loses_and_reacquires_after_corrupted_sync() -> None:
body = np.zeros(240, dtype=np.int8)
part = np.concatenate((INAV_SYNC_BITS, body))
bits = np.tile(part, 6)
bits[3 * 250] ^= 1
output = InavPageSynchronizer().process_many(_symbols(bits, prefix=0))
assert len(output) == 5
assert [item.receive_sample_timestamp // (250 * 4) for item in output] == [0, 1, 2, 4, 5]
def test_page_sync_does_not_lock_through_symbol_erasure() -> None:
body = np.zeros(240, dtype=np.int8)
symbols = _symbols(np.tile(np.concatenate((INAV_SYNC_BITS, body)), 3), prefix=0)
erased = symbols[250]
symbols[250] = NavigationSymbol(
erased.prn, erased.symbol_index, erased.start_sample_timestamp,
erased.end_sample_timestamp, 0.0, 0, 0.0, False, False,
)
assert InavPageSynchronizer().process_many(symbols) == []
+35
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@@ -0,0 +1,35 @@
from __future__ import annotations
import numpy as np
from galileo_rx.navigation.e1b_prompt_stream import E1BPromptEpoch
from galileo_rx.navigation.e1b_symbol_sync import E1BSymbolSynchronizer
def _epoch(index: int, sign: int, *, slip: bool = False) -> E1BPromptEpoch:
start = index * 16
prompt = sign * np.exp(1j * 0.37)
return E1BPromptEpoch(
1, start, start + 16, float(prompt.real), float(prompt.imag), 0.0, 1000.0, 0.0,
50.0, True, True, slip, False, True,
)
def test_symbol_sync_preserves_global_polarity_ambiguity() -> None:
truth = np.asarray([1, -1] * 12, dtype=np.int8)
synchronizer = E1BSymbolSynchronizer(minimum_axis_epochs=4, minimum_confidence=0.9)
symbols = synchronizer.process_many([_epoch(i, int(-value)) for i, value in enumerate(truth)])
hard = np.asarray([item.hard_value for item in symbols[4:]], dtype=np.int8)
# Either polarity is valid here; page synchronization resolves it later.
expected_bits = (truth[4:] > 0).astype(np.int8)
assert np.array_equal(hard, expected_bits) or np.array_equal(hard, 1 - expected_bits)
assert all(not item.inverted for item in symbols)
def test_cycle_slip_invalidates_and_restarts_axis_lock() -> None:
sync = E1BSymbolSynchronizer(minimum_axis_epochs=3, minimum_confidence=0.1)
symbols = [sync.process(_epoch(i, 1, slip=i == 5)) for i in range(10)]
assert symbols[5].valid is False
assert symbols[6].valid is False
assert symbols[7].valid is True
assert sync.loss_count == 1
+13
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@@ -0,0 +1,13 @@
from __future__ import annotations
from galileo_rx.navigation.galileo_time import GalileoTimeRecovery
from galileo_rx.navigation.inav_word_parser import IonosphereHealthTimeWord5, ParsedInavWord
def test_gst_week_and_tow_recovery_from_word5() -> None:
payload = IonosphereHealthTimeWord5(0, 0.0, 0, 0.0, 0, 0.0, (False,) * 5, 0, 0.0, 0, 0.0, 0, 0, 0, 0, 1138, 554763)
result = GalileoTimeRecovery().update(ParsedInavWord(1, 5, 1234, None, payload, [], True, True))
assert result is not None
assert result.week_number == 1138
assert result.time_of_week_s == 554763
assert result.page_start_sample_timestamp == 1234
+33
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@@ -0,0 +1,33 @@
from __future__ import annotations
import numpy as np
from galileo_rx.navigation.inav_fec import InavViterbiDecoder
from tests.navigation.test_deinterleaver import ENCODED
SOURCE = (
"1111111111110000110011001010101000000000000011110011001101010101"
"11100011111011001101111110001010000111000001001101000000"
)
def test_hard_and_soft_viterbi_against_independent_icd_vector() -> None:
coded = np.fromiter(map(int, ENCODED), dtype=np.int8)
decoder = InavViterbiDecoder(traceback_depth=35)
hard = decoder.decode(coded, mode="hard")
soft = decoder.decode(np.where(coded, 4.0, -4.0), mode="soft")
assert hard.valid and soft.valid
assert "".join(map(str, hard.decoded_bits)) == SOURCE
assert hard.decoded_bits == soft.decoded_bits
def test_soft_viterbi_corrects_individual_and_burst_errors() -> None:
coded = np.fromiter(map(int, ENCODED), dtype=np.int8)
soft = np.where(coded, 5.0, -5.0)
soft[[20, 81, 177]] *= -1.0
soft[120:124] *= -1.0
result = InavViterbiDecoder().decode(soft, mode="soft")
assert result.valid
assert "".join(map(str, result.decoded_bits)) == SOURCE
assert result.corrected_error_metric == 7.0
+25
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@@ -0,0 +1,25 @@
from __future__ import annotations
from galileo_rx.navigation.inav_page_decoder import InavPage
from galileo_rx.navigation.inav_word_parser import EphemerisClockWord4, InavWordParser
def _put(bits: list[int], start: int, width: int, value: int) -> None:
if value < 0:
value += 1 << width
for index in range(width):
bits[start + index] = (value >> (width - 1 - index)) & 1
def test_word4_signed_scaling_and_units() -> None:
bits = [0] * 128
for start, width, value in [(0, 6, 4), (6, 10, 77), (16, 6, 12), (22, 16, -3), (38, 16, 5), (54, 14, 9000), (68, 31, -100), (99, 21, 200), (120, 6, -2)]:
_put(bits, start, width, value)
page = InavPage(12, 0, 100, [], [], 4, True, True, True, False, 0.0, 0, bits, 200)
parsed = InavWordParser().parse(page)
assert parsed.iod_nav == 77
assert isinstance(parsed.payload, EphemerisClockWord4)
assert parsed.payload.svid == 12
assert parsed.payload.cic_raw == -3
assert parsed.payload.toc_s == 540000.0
assert parsed.payload.clock_bias_s == -100 * 2.0**-34
+18
View File
@@ -0,0 +1,18 @@
from __future__ import annotations
import numpy as np
from galileo_rx.tracking.lock_detector import LockDetector
from galileo_rx.types import CorrelatorOutputs
def _correlators(phase_rad: float) -> CorrelatorOutputs:
prompt = complex(np.exp(1j * phase_rad))
return CorrelatorOutputs(0.2 * prompt, 0.5 * prompt, prompt, 0.5 * prompt, 0.2 * prompt)
def test_data_lock_detector_ignores_bpsk_transition_but_detects_quadrature_jump() -> None:
detector = LockDetector(data_sign_insensitive=True)
detector.update(_correlators(0.0))
assert detector.update(_correlators(np.pi)).cycle_slip is False
assert detector.update(_correlators(np.pi + 0.49 * np.pi)).cycle_slip is True
+16 -3
View File
@@ -26,7 +26,14 @@ 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"]
vector_names = [
"high_cn0_single_prn",
"nominal_cn0_single_prn",
"negative_doppler",
"multiple_prns",
"navigation_single_prn",
"navigation_multisat",
]
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()
@@ -46,6 +53,8 @@ def main() -> int:
"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}},
"navigation_single_prn": {"duration_s": 4.2, "cn0_db_hz": 55.0, "visible_prns": [1], "expected_doppler_hz": {1: 1828.0}, "sample_frequency_mhz": 4.092, "center_frequency_mhz": 1574.397},
"navigation_multisat": {"duration_s": 32.2, "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}, "sample_frequency_mhz": 4.092, "center_frequency_mhz": 1574.397},
}
selected = vector_names if args.vector == "all" else [args.vector]
for vector_name in selected:
@@ -57,6 +66,8 @@ def main() -> int:
config["ephemeris"]["name"] = str(rinex)
config["trajectory"]["trajectoryList"][0]["time"] = parameters["duration_s"]
config["power"]["initPower"]["value"] = parameters["cn0_db_hz"]
config["output"]["sampleFreq"] = parameters.get("sample_frequency_mhz", 8.184)
config["output"]["centerFreq"] = parameters.get("center_frequency_mhz", 1573.374)
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"
@@ -76,8 +87,10 @@ def main() -> int:
"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,
"sampling_frequency_hz": round(float(config["output"]["sampleFreq"]) * 1e6, 6),
"intermediate_frequency_hz": round(
(1575.42 - float(config["output"]["centerFreq"])) * 1e6, 6
),
"sample_format": "IQ8_interleaved_signed_I_then_Q",
"duration_s": parameters["duration_s"],
"prns": parameters["visible_prns"],
@@ -0,0 +1,38 @@
{
"prn": 1,
"acquisition_detected": true,
"acquisition_time_s": 0.1004119270000956,
"raw_doppler_hz": 1750.0,
"expected_doppler_hz": 1828.0,
"start_sample_timestamp": 90995,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.650105177999649,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 10,
"tracking_lock_timestamp": 107363,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 4428515,
"first_page_sync_timestamp": 4428515,
"first_crc_valid_page_timestamp": 4428515,
"page_parts": 31,
"pages": 15,
"crc_passes": 15,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61716515,
"clock_parameters": true,
"health_valid": true,
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}
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{
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"health_valid": true,
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"first_received_timestamp": 12612515,
"completed_timestamp": 61716515
}
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{"crc_valid": true, "decoded_bits": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "decoder_metric": -37331820.63550909, "end_sample_timestamp": 127188515, "error_flags": 0, "fec_valid": true, "page_sequence": 14, "polarity_inverted": true, "prn": 1, "raw_symbols": [0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1], "receive_sample_timestamp": 119004515, "sync_valid": true, "word_bits": [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1], "word_type": 0}
@@ -0,0 +1,6 @@
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"eccentricity": 7.992994505912066e-05, "eccentricity_raw": 686593, "iod_nav": 29, "mean_anomaly_rad": 1.763453196161098, "mean_anomaly_raw": 1205435370, "sqrt_a": 5440.600309371948, "sqrt_a_raw": 2852441455, "toe_raw": 9250, "toe_s": 555000.0}, "prn": 1, "raw_bits": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0], "receive_sample_timestamp": 12612515, "word_type": 1}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"crc_m": 256.15625, "crc_raw": 8197, "crs_m": 91.1875, "crs_raw": 2918, "cuc_rad": 4.2263418436050415e-06, "cuc_raw": 2269, "cus_rad": 4.390254616737366e-06, "cus_raw": 2357, "delta_n_rad_s": 3.2858511546039716e-09, "delta_n_raw": 9200, "iod_nav": 29, "omega_dot_rad_s": -5.809527704433501e-09, "omega_dot_raw": -16266, "sisa_index": 107}, "prn": 1, "raw_bits": [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1], "receive_sample_timestamp": 20796515, "word_type": 3}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"ai0_raw": 0, "ai0_sfu": 0.0, "ai1_raw": 0, "ai1_sfu_per_degree": 0.0, "ai2_raw": 0, "ai2_sfu_per_degree2": 0.0, "bgd_e1_e5a_raw": 2, "bgd_e1_e5a_s": 4.656612873077393e-10, "bgd_e1_e5b_raw": 2, "bgd_e1_e5b_s": 4.656612873077393e-10, "disturbance_flags": [false, false, false, false, false], "e1b_data_validity_status": 0, "e1b_health": 0, "e5b_data_validity_status": 0, "e5b_health": 0, "time_of_week_s": 554755, "week_number": 1138}, "prn": 1, "raw_bits": [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 28980515, "word_type": 5}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"argument_of_perigee_rad": -1.4927534274463103, "argument_of_perigee_raw": -1020394408, "inclination_rad": 0.9780546728858021, "inclination_rate_rad_s": 9.928985010651132e-11, "inclination_rate_raw": 278, "inclination_raw": 668564212, "iod_nav": 29, "omega0_rad": 0.1817990533460104, "omega0_raw": 124271520}, "prn": 1, "raw_bits": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0], "receive_sample_timestamp": 53532515, "word_type": 2}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"cic_rad": 1.4901161193847656e-08, "cic_raw": 8, "cis_rad": -5.774199962615967e-08, "cis_raw": -31, "clock_bias_raw": -19455572, "clock_bias_s": -0.001132463337853551, "clock_drift_rate_raw": 0, "clock_drift_rate_s_per_s2": 0.0, "clock_drift_raw": -561, "clock_drift_s_per_s": -7.972289495228324e-12, "iod_nav": 29, "svid": 1, "toc_raw": 9250, "toc_s": 555000.0}, "prn": 1, "raw_bits": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 61716515, "word_type": 4}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"a0_raw": 2, "a0_s": 1.862645149230957e-09, "a1_raw": -1, "a1_s_per_s": -8.881784197001252e-16, "delta_tls_s": 18, "future_delta_tls_s": 18, "leap_day": 0, "leap_week_mod256": 114, "reference_time_s": 453600, "reference_week_mod256": 114, "time_of_week_s": 554765}, "prn": 1, "raw_bits": [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0], "receive_sample_timestamp": 69900515, "word_type": 6}
File diff suppressed because one or more lines are too long
@@ -0,0 +1,38 @@
{
"prn": 4,
"acquisition_detected": true,
"acquisition_time_s": 0.08580062900000485,
"raw_doppler_hz": 2250.0,
"expected_doppler_hz": 2171.0,
"start_sample_timestamp": 86819,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.877967087995785,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 61,
"tracking_lock_timestamp": 103187,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12624707,
"first_page_sync_timestamp": 12624707,
"first_crc_valid_page_timestamp": 12624707,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
1,
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 30,
"first_complete_ephemeris_timestamp": 61728707,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.3411525530027575
}
@@ -0,0 +1,29 @@
{
"prn": 4,
"iod_nav": 30,
"toe_s": 555600.0,
"toc_s": 555600.0,
"sqrt_a": 5440.619691848755,
"eccentricity": 0.0003278222866356373,
"inclination_rad": 0.9546608529078708,
"omega0_rad": -1.916469336297527,
"argument_of_perigee_rad": -1.2995103390103033,
"mean_anomaly_rad": 2.9471624393166582,
"delta_n_rad_s": 3.3912126861918165e-09,
"inclination_rate_rad_s": -2.3250968496165061e-10,
"omega_dot_rad_s": -5.7763120351532645e-09,
"cuc_rad": -3.553926944732666e-06,
"cus_rad": 7.985159754753113e-06,
"crc_m": 161.75,
"crs_m": -73.28125,
"cic_rad": 2.0489096641540527e-08,
"cis_rad": 5.4016709327697754e-08,
"clock_bias_s": -0.0007956350455060601,
"clock_drift_s_per_s": -8.043343768804334e-12,
"clock_drift_rate_s_per_s2": 0.0,
"sisa_index": 107,
"health_valid": true,
"data_valid": true,
"first_received_timestamp": 12624707,
"completed_timestamp": 61728707
}
@@ -0,0 +1,14 @@
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{"crc_valid": true, "decoded_bits": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "decoder_metric": -37462938.630596794, "end_sample_timestamp": 127200707, "error_flags": 0, "fec_valid": true, "page_sequence": 13, "polarity_inverted": false, "prn": 4, "raw_symbols": [0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1], "receive_sample_timestamp": 119016707, "sync_valid": true, "word_bits": [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1], "word_type": 0}
@@ -0,0 +1,6 @@
{"crc_valid": true, "health_valid": true, "iod_nav": 30, "payload": {"eccentricity": 0.0003278222866356373, "eccentricity_raw": 2815972, "iod_nav": 30, "mean_anomaly_rad": 2.9471624393166582, "mean_anomaly_raw": 2014577905, "sqrt_a": 5440.619691848755, "sqrt_a_raw": 2852451617, "toe_raw": 9260, "toe_s": 555600.0}, "prn": 4, "raw_bits": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0], "receive_sample_timestamp": 12624707, "word_type": 1}
{"crc_valid": true, "health_valid": true, "iod_nav": 30, "payload": {"crc_m": 161.75, "crc_raw": 5176, "crs_m": -73.28125, "crs_raw": -2345, "cuc_rad": -3.553926944732666e-06, "cuc_raw": -1908, "cus_rad": 7.985159754753113e-06, "cus_raw": 4287, "delta_n_rad_s": 3.3912126861918165e-09, "delta_n_raw": 9495, "iod_nav": 30, "omega_dot_rad_s": -5.7763120351532645e-09, "omega_dot_raw": -16173, "sisa_index": 107}, "prn": 4, "raw_bits": [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1], "receive_sample_timestamp": 20808707, "word_type": 3}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"ai0_raw": 0, "ai0_sfu": 0.0, "ai1_raw": 0, "ai1_sfu_per_degree": 0.0, "ai2_raw": 0, "ai2_sfu_per_degree2": 0.0, "bgd_e1_e5a_raw": -13, "bgd_e1_e5a_s": -3.026798367500305e-09, "bgd_e1_e5b_raw": -15, "bgd_e1_e5b_s": -3.4924596548080444e-09, "disturbance_flags": [false, false, false, false, false], "e1b_data_validity_status": 0, "e1b_health": 0, "e5b_data_validity_status": 0, "e5b_health": 0, "time_of_week_s": 554755, "week_number": 1138}, "prn": 4, "raw_bits": [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 28992707, "word_type": 5}
{"crc_valid": true, "health_valid": true, "iod_nav": 30, "payload": {"argument_of_perigee_rad": -1.2995103390103033, "argument_of_perigee_raw": -888300143, "inclination_rad": 0.9546608529078708, "inclination_rate_rad_s": -2.3250968496165061e-10, "inclination_rate_raw": -651, "inclination_raw": 652573009, "iod_nav": 30, "omega0_rad": -1.916469336297527, "omega0_raw": -1310031890}, "prn": 4, "raw_bits": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0], "receive_sample_timestamp": 53544707, "word_type": 2}
{"crc_valid": true, "health_valid": true, "iod_nav": 30, "payload": {"cic_rad": 2.0489096641540527e-08, "cic_raw": 11, "cis_rad": 5.4016709327697754e-08, "cis_raw": 29, "clock_bias_raw": -13668906, "clock_bias_s": -0.0007956350455060601, "clock_drift_rate_raw": 0, "clock_drift_rate_s_per_s2": 0.0, "clock_drift_raw": -566, "clock_drift_s_per_s": -8.043343768804334e-12, "iod_nav": 30, "svid": 4, "toc_raw": 9260, "toc_s": 555600.0}, "prn": 4, "raw_bits": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 61728707, "word_type": 4}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"a0_raw": 2, "a0_s": 1.862645149230957e-09, "a1_raw": -1, "a1_s_per_s": -8.881784197001252e-16, "delta_tls_s": 18, "future_delta_tls_s": 18, "leap_day": 0, "leap_week_mod256": 114, "reference_time_s": 453600, "reference_week_mod256": 114, "time_of_week_s": 554765}, "prn": 4, "raw_bits": [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0], "receive_sample_timestamp": 69912707, "word_type": 6}
File diff suppressed because one or more lines are too long
@@ -0,0 +1,39 @@
{
"prn": 19,
"acquisition_detected": true,
"acquisition_time_s": 0.0836479790013982,
"raw_doppler_hz": -250.0,
"expected_doppler_hz": -367.0,
"start_sample_timestamp": 87566,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.9836710640011,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 406,
"tracking_lock_timestamp": 103934,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 16684718,
"first_page_sync_timestamp": 16684718,
"first_crc_valid_page_timestamp": 20776718,
"page_parts": 28,
"pages": 13,
"crc_passes": 13,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [
1
],
"complete_ephemeris": false,
"ephemeris_iod_nav": null,
"first_complete_ephemeris_timestamp": null,
"clock_parameters": true,
"health_valid": false,
"data_valid": false,
"decoding_time_s": 1.2081766550036264
}
@@ -0,0 +1,13 @@
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@@ -0,0 +1,5 @@
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"crc_m": 166.625, "crc_raw": 5332, "crs_m": -77.1875, "crs_raw": -2470, "cuc_rad": -3.518536686897278e-06, "cuc_raw": -1889, "cus_rad": 7.985159754753113e-06, "cus_raw": 4287, "delta_n_rad_s": 3.2276344439300102e-09, "delta_n_raw": 9037, "iod_nav": 29, "omega_dot_rad_s": -5.699880280035303e-09, "omega_dot_raw": -15959, "sisa_index": 107}, "prn": 19, "raw_bits": [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1], "receive_sample_timestamp": 20776718, "word_type": 3}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"ai0_raw": 0, "ai0_sfu": 0.0, "ai1_raw": 0, "ai1_sfu_per_degree": 0.0, "ai2_raw": 0, "ai2_sfu_per_degree2": 0.0, "bgd_e1_e5a_raw": -15, "bgd_e1_e5a_s": -3.4924596548080444e-09, "bgd_e1_e5b_raw": -17, "bgd_e1_e5b_s": -3.958120942115784e-09, "disturbance_flags": [false, false, false, false, false], "e1b_data_validity_status": 0, "e1b_health": 0, "e5b_data_validity_status": 0, "e5b_health": 0, "time_of_week_s": 554755, "week_number": 1138}, "prn": 19, "raw_bits": [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 28960718, "word_type": 5}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"argument_of_perigee_rad": -1.486853610495253, "argument_of_perigee_raw": -1016361498, "inclination_rad": 0.9603429613162078, "inclination_rate_rad_s": -1.753644474902772e-10, "inclination_rate_raw": -491, "inclination_raw": 656457101, "iod_nav": 29, "omega0_rad": -1.9160215912014322, "omega0_raw": -1309725827}, "prn": 19, "raw_bits": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0], "receive_sample_timestamp": 53512718, "word_type": 2}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"cic_rad": -5.587935447692871e-09, "cic_raw": -3, "cis_rad": 4.0978193283081055e-08, "cis_raw": 22, "clock_bias_raw": 5258000, "clock_bias_s": 0.00030605588108301163, "clock_drift_rate_raw": 0, "clock_drift_rate_s_per_s2": 0.0, "clock_drift_raw": 672, "clock_drift_s_per_s": 9.549694368615746e-12, "iod_nav": 29, "svid": 19, "toc_raw": 9250, "toc_s": 555000.0}, "prn": 19, "raw_bits": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 61696718, "word_type": 4}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"a0_raw": 2, "a0_s": 1.862645149230957e-09, "a1_raw": -1, "a1_s_per_s": -8.881784197001252e-16, "delta_tls_s": 18, "future_delta_tls_s": 18, "leap_day": 0, "leap_week_mod256": 114, "reference_time_s": 453600, "reference_week_mod256": 114, "time_of_week_s": 554765}, "prn": 19, "raw_bits": [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0], "receive_sample_timestamp": 69880718, "word_type": 6}
File diff suppressed because one or more lines are too long
@@ -0,0 +1,38 @@
{
"prn": 21,
"acquisition_detected": true,
"acquisition_time_s": 0.08741291100159287,
"raw_doppler_hz": -750.0,
"expected_doppler_hz": -712.0,
"start_sample_timestamp": 93628,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.982213923998643,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 259,
"tracking_lock_timestamp": 101812,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12598780,
"first_page_sync_timestamp": 12598780,
"first_crc_valid_page_timestamp": 12598780,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
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2,
3,
4,
5,
6
],
"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61702780,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.231179278001946
}
@@ -0,0 +1,29 @@
{
"prn": 21,
"iod_nav": 29,
"toe_s": 555000.0,
"toc_s": 555000.0,
"sqrt_a": 5440.612789154053,
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"inclination_rad": 0.9776274861774753,
"omega0_rad": 0.1789455277652162,
"argument_of_perigee_rad": -2.4629566570365555,
"mean_anomaly_rad": -2.7956633818013814,
"delta_n_rad_s": 3.2879941010091484e-09,
"inclination_rate_rad_s": 1.392915163364727e-10,
"omega_dot_rad_s": -5.86703009963907e-09,
"cuc_rad": 4.423782229423523e-06,
"cus_rad": 4.608184099197388e-06,
"crc_m": 248.09375,
"crs_m": 94.3125,
"cic_rad": 1.3224780559539795e-07,
"cis_rad": 2.7939677238464355e-08,
"clock_bias_s": -0.0006715285708196461,
"clock_drift_s_per_s": -2.0889956431346945e-12,
"clock_drift_rate_s_per_s2": 0.0,
"sisa_index": 107,
"health_valid": true,
"data_valid": true,
"first_received_timestamp": 12598780,
"completed_timestamp": 61702780
}
@@ -0,0 +1,14 @@
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@@ -0,0 +1,6 @@
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"eccentricity": 3.8767699152231216e-05, "eccentricity_raw": 333012, "iod_nav": 29, "mean_anomaly_rad": -2.7956633818013814, "mean_anomaly_raw": -1911018410, "sqrt_a": 5440.612789154053, "sqrt_a_raw": 2852447998, "toe_raw": 9250, "toe_s": 555000.0}, "prn": 21, "raw_bits": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], "receive_sample_timestamp": 12598780, "word_type": 1}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"crc_m": 248.09375, "crc_raw": 7939, "crs_m": 94.3125, "crs_raw": 3018, "cuc_rad": 4.423782229423523e-06, "cuc_raw": 2375, "cus_rad": 4.608184099197388e-06, "cus_raw": 2474, "delta_n_rad_s": 3.2879941010091484e-09, "delta_n_raw": 9206, "iod_nav": 29, "omega_dot_rad_s": -5.86703009963907e-09, "omega_dot_raw": -16427, "sisa_index": 107}, "prn": 21, "raw_bits": [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1], "receive_sample_timestamp": 20782780, "word_type": 3}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"ai0_raw": 0, "ai0_sfu": 0.0, "ai1_raw": 0, "ai1_sfu_per_degree": 0.0, "ai2_raw": 0, "ai2_sfu_per_degree2": 0.0, "bgd_e1_e5a_raw": 10, "bgd_e1_e5a_s": 2.3283064365386963e-09, "bgd_e1_e5b_raw": 11, "bgd_e1_e5b_s": 2.561137080192566e-09, "disturbance_flags": [false, false, false, false, false], "e1b_data_validity_status": 0, "e1b_health": 0, "e5b_data_validity_status": 0, "e5b_health": 0, "time_of_week_s": 554755, "week_number": 1138}, "prn": 21, "raw_bits": [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 28966780, "word_type": 5}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"argument_of_perigee_rad": -2.4629566570365555, "argument_of_perigee_raw": -1683591646, "inclination_rad": 0.9776274861774753, "inclination_rate_rad_s": 1.392915163364727e-10, "inclination_rate_raw": 390, "inclination_raw": 668272202, "iod_nav": 29, "omega0_rad": 0.1789455277652162, "omega0_raw": 122320949}, "prn": 21, "raw_bits": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0], "receive_sample_timestamp": 53518780, "word_type": 2}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"cic_rad": 1.3224780559539795e-07, "cic_raw": 71, "cis_rad": 2.7939677238464355e-08, "cis_raw": 15, "clock_bias_raw": -11536773, "clock_bias_s": -0.0006715285708196461, "clock_drift_rate_raw": 0, "clock_drift_rate_s_per_s2": 0.0, "clock_drift_raw": -147, "clock_drift_s_per_s": -2.0889956431346945e-12, "iod_nav": 29, "svid": 21, "toc_raw": 9250, "toc_s": 555000.0}, "prn": 21, "raw_bits": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 61702780, "word_type": 4}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"a0_raw": 2, "a0_s": 1.862645149230957e-09, "a1_raw": -1, "a1_s_per_s": -8.881784197001252e-16, "delta_tls_s": 18, "future_delta_tls_s": 18, "leap_day": 0, "leap_week_mod256": 114, "reference_time_s": 453600, "reference_week_mod256": 114, "time_of_week_s": 554765}, "prn": 21, "raw_bits": [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0], "receive_sample_timestamp": 69886780, "word_type": 6}
File diff suppressed because one or more lines are too long
@@ -0,0 +1,38 @@
{
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"raw_doppler_hz": -2750.0,
"expected_doppler_hz": -2637.0,
"start_sample_timestamp": 88014,
"tracking_epoch_count": 16088,
"tracking_time_s": 13.978430488001322,
"tracking_final_state": "PLL_TRACK",
"tracking_reacquisition_requests": 0,
"tracking_lock_timestamp": 96198,
"prompt_epoch_count": 8044,
"first_synchronized_symbol_timestamp": 12642270,
"first_page_sync_timestamp": 12642270,
"first_crc_valid_page_timestamp": 12642270,
"page_parts": 29,
"pages": 14,
"crc_passes": 14,
"crc_failures": 0,
"fec_failures": 0,
"received_word_types": [
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3,
4,
5,
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"missing_ephemeris_word_types": [],
"complete_ephemeris": true,
"ephemeris_iod_nav": 29,
"first_complete_ephemeris_timestamp": 61746270,
"clock_parameters": true,
"health_valid": true,
"data_valid": true,
"decoding_time_s": 1.2002744679994066
}
@@ -0,0 +1,29 @@
{
"prn": 27,
"iod_nav": 29,
"toe_s": 555000.0,
"toc_s": 555000.0,
"sqrt_a": 5440.6105098724365,
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"inclination_rad": 0.9775995078692093,
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"inclination_rate_rad_s": 2.282237921512976e-10,
"omega_dot_rad_s": -5.8148850704464415e-09,
"cuc_rad": 4.628673195838928e-06,
"cus_rad": 4.498288035392761e-06,
"crc_m": 251.0,
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"cic_rad": -5.029141902923584e-08,
"cis_rad": 1.2293457984924316e-07,
"clock_bias_s": -5.756091559305787e-05,
"clock_drift_s_per_s": -8.256506589532364e-12,
"clock_drift_rate_s_per_s2": 0.0,
"sisa_index": 107,
"health_valid": true,
"data_valid": true,
"first_received_timestamp": 12642270,
"completed_timestamp": 61746270
}
@@ -0,0 +1,14 @@
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@@ -0,0 +1,6 @@
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"eccentricity": 0.00015918409917503595, "eccentricity_raw": 1367381, "iod_nav": 29, "mean_anomaly_rad": 2.8707087693201396, "mean_anomaly_raw": 1962316831, "sqrt_a": 5440.6105098724365, "sqrt_a_raw": 2852446803, "toe_raw": 9250, "toe_s": 555000.0}, "prn": 27, "raw_bits": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0], "receive_sample_timestamp": 12642270, "word_type": 1}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"crc_m": 251.0, "crc_raw": 8032, "crs_m": 97.59375, "crs_raw": 3123, "cuc_rad": 4.628673195838928e-06, "cuc_raw": 2485, "cus_rad": 4.498288035392761e-06, "cus_raw": 2415, "delta_n_rad_s": 3.316566719744835e-09, "delta_n_raw": 9286, "iod_nav": 29, "omega_dot_rad_s": -5.8148850704464415e-09, "omega_dot_raw": -16281, "sisa_index": 107}, "prn": 27, "raw_bits": [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1], "receive_sample_timestamp": 20826270, "word_type": 3}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"ai0_raw": 0, "ai0_sfu": 0.0, "ai1_raw": 0, "ai1_sfu_per_degree": 0.0, "ai2_raw": 0, "ai2_sfu_per_degree2": 0.0, "bgd_e1_e5a_raw": 9, "bgd_e1_e5a_s": 2.0954757928848267e-09, "bgd_e1_e5b_raw": 10, "bgd_e1_e5b_s": 2.3283064365386963e-09, "disturbance_flags": [false, false, false, false, false], "e1b_data_validity_status": 0, "e1b_health": 0, "e5b_data_validity_status": 0, "e5b_health": 0, "time_of_week_s": 554755, "week_number": 1138}, "prn": 27, "raw_bits": [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 29010270, "word_type": 5}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"argument_of_perigee_rad": -1.0541993804356522, "argument_of_perigee_raw": -720614090, "inclination_rad": 0.9775995078692093, "inclination_rate_rad_s": 2.282237921512976e-10, "inclination_rate_raw": 639, "inclination_raw": 668253077, "iod_nav": 29, "omega0_rad": 0.17894288427224694, "omega0_raw": 122319142}, "prn": 27, "raw_bits": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0], "receive_sample_timestamp": 53562270, "word_type": 2}
{"crc_valid": true, "health_valid": true, "iod_nav": 29, "payload": {"cic_rad": -5.029141902923584e-08, "cic_raw": -27, "cis_rad": 1.2293457984924316e-07, "cis_raw": 66, "clock_bias_raw": -988889, "clock_bias_s": -5.756091559305787e-05, "clock_drift_rate_raw": 0, "clock_drift_rate_s_per_s2": 0.0, "clock_drift_raw": -581, "clock_drift_s_per_s": -8.256506589532364e-12, "iod_nav": 29, "svid": 27, "toc_raw": 9250, "toc_s": 555000.0}, "prn": 27, "raw_bits": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], "receive_sample_timestamp": 61746270, "word_type": 4}
{"crc_valid": true, "health_valid": true, "iod_nav": null, "payload": {"a0_raw": 2, "a0_s": 1.862645149230957e-09, "a1_raw": -1, "a1_s_per_s": -8.881784197001252e-16, "delta_tls_s": 18, "future_delta_tls_s": 18, "leap_day": 0, "leap_week_mod256": 114, "reference_time_s": 453600, "reference_week_mod256": 114, "time_of_week_s": 554765}, "prn": 27, "raw_bits": [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0], "receive_sample_timestamp": 69930270, "word_type": 6}
File diff suppressed because one or more lines are too long
@@ -56,3 +56,32 @@ vectors:
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}
navigation_single_prn:
status: generated_crc_valid_page
config: navigation_single_prn/generated_config.json
output: navigation_single_prn/navigation_single_prn_iq8.bin
representation: complex_iq
sample_format: interleaved_twos_complement_int8_iq
sample_rate_hz: 4092000
galileo_e1_if_hz: 1023000
duration_s: 4.2
prn: 1
components: [E1B, E1C]
sha256: 4169cb7573913dbf0179b731bd1103b3a94cac3364d1337541311ca5843c8f93
generated_file_committed: false
navigation_multisat:
status: navigation_ready_four_of_five
config: navigation_multisat/generated_config.json
output: navigation_multisat/navigation_multisat_iq8.bin
representation: complex_iq
sample_format: interleaved_twos_complement_int8_iq
sample_rate_hz: 4092000
galileo_e1_if_hz: 1023000
duration_s: 32.2
prns: [1, 4, 19, 21, 27]
components: [E1B, E1C]
sha256: b38393b32eec2df53f9813ea7ff8f13e5e0fc72fa5cb7fb910a2b8f907a56a6e
generated_file_committed: false
decoded_pages: 70
crc_passes: 70
complete_ephemeris_prns: [1, 4, 21, 27]
@@ -0,0 +1,116 @@
{
"version": 1.0,
"description": "SignalSim validation vector: navigation_multisat",
"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": 32.2
}
]
},
"ephemeris": {
"type": "RINEX",
"name": "/home/onur/Desktop/galileo/signalsim/SignalSim/EphData/BRDC00IGS_R_20211700000_01D_MN.rnx"
},
"output": {
"type": "IFdata",
"format": "IQ8",
"sampleFreq": 4.092,
"centerFreq": 1574.397,
"name": "navigation_multisat_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
}
}
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,37 @@
name: navigation_multisat
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/navigation_multisat/generated_config.json
- -o
- /home/onur/Desktop/galileo/verification/vectors/signalsim/navigation_multisat/navigation_multisat_iq8.bin
- -t
- -st
output: verification/vectors/signalsim/navigation_multisat/navigation_multisat_iq8.bin
size_bytes: 263516616
sha256: b38393b32eec2df53f9813ea7ff8f13e5e0fc72fa5cb7fb910a2b8f907a56a6e
complex_sample_count: 131758308
sampling_frequency_hz: 4092000.0
intermediate_frequency_hz: 1023000.0
sample_format: IQ8_interleaved_signed_I_then_Q
duration_s: 32.2
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
@@ -0,0 +1,8 @@
PROG = IFDataGen
TIME = 2026/07/30 20:44:51.803
FMT = INT8X2
F_S = 4.092000
F_LO = 1574.397000
IQ = 1
BITS = 8
SCALE = 1.0

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