Use WaveformConfig for live range/velocity conversion in RadarDataWorker
and add headless AST-based regression checks in test_v7.py.
Before: RadarDataWorker._run_host_dsp used RadarSettings.velocity_resolution
(default 1.0 in models.py:113), while ReplayWorker used WaveformConfig
(~5.343 m/s/bin). Live GUI under-reported velocity by factor ~5.34x.
Fix: local WaveformConfig() in _run_host_dsp, mirroring ReplayWorker
pattern. Doppler center derived from frame shape, matching processing.py:520.
Test: TestLiveReplayPhysicalUnitsParity in test_v7.py uses ast.parse on
workers.py (no v7.workers import, headless-CI-safe despite PyQt6 dep)
and asserts AST Call/Attribute/BinOp nodes for both RadarDataWorker
and ReplayWorker paths.
- Bandwidth 500 MHz -> 20 MHz, sample rate 4 MHz -> 100 MHz (DDC output)
- Range formula: deramped FMCW -> matched-filter c/(2*Fs)*decimation
- Velocity formula: use PRI (167 us) and chirps_per_subframe (16)
- Carrier frequency: 10.525 GHz -> 10.5 GHz per radar_scene.py
- Range per bin: 4.8 m -> 24 m, max range: 307 m -> 1536 m
- Fix simulator target spawn range to match new coverage (50-1400 m)
- Remove dead BANDWIDTH constant, add SAMPLE_RATE to V65 Tk
- All 174 tests pass, ruff clean
Add SoftwareFPGA class that imports golden_reference functions to
replicate the FPGA pipeline in software, enabling bit-accurate replay
of raw IQ, FPGA co-sim, and HDF5 recordings through the same
dashboard path as live data.
New modules: software_fpga.py, replay.py (ReplayEngine + 3 loaders)
Enhanced: WaveformConfig model, extract_targets_from_frame() in
processing, ReplayWorker with thread-safe playback controls,
dashboard replay UI with transport controls and dual-dispatch
FPGA parameter routing.
Removed: ReplayConnection (from radar_protocol, hardware, dashboard,
tests) — replaced by the unified replay architecture.
150/150 tests pass, ruff clean.
Bug #1 — Range calibration for Raw IQ Replay:
- Add WaveformConfig dataclass (models.py) with FMCW waveform params
(fs, BW, T_chirp, fc) and methods to compute range/velocity resolution
- Add waveform parameter spinboxes to playback controls (dashboard.py)
- Auto-parse waveform params from ADI phaser filename convention
- Create replay-specific RadarSettings with correct calibration instead
of using FPGA defaults (781.25 m/bin → 0.334 m/bin for ADI phaser)
- Add 4 unit tests validating WaveformConfig math
Bug #2 — Demo + radar mutual exclusion:
- _start_demo() now refuses if radar is running (_running=True)
- _start_radar() stops demo first if _demo_mode is active
- Demo buttons disabled while radar/replay is running, re-enabled on stop
Bug #3 — Refactor adi_agc_analysis.py:
- Remove 60+ lines of duplicated AGC functions (signed_to_encoding,
encoding_to_signed, clamp_gain, apply_gain_shift)
- Import from v7.agc_sim canonical implementation
- Rewrite simulate_agc() to use process_agc_frame() in a loop
- Rewrite process_frame_rd() to use quantize_iq() from agc_sim
v7/__init__.py: wrap workers/map_widget/dashboard imports in try/except
so CI runners without PyQt6 can still test models, processing, hardware.
test_v7.py: skip TestPolarToGeographic when PyQt6 unavailable, split
TestV7Init.test_key_exports into core vs PyQt6-dependent assertions.
Serhii
Jason