mirror of
https://github.com/NawfalMotii79/PLFM_RADAR.git
synced 2026-06-08 22:47:16 +00:00
Jason
237e74ceba
Replaces the legacy ADI CN0566 .npy capture flow with a synthetic radar
scene generated by tb/cosim/real_data/gen_realdata_hex.py via the
existing radar_scene + fpga_model bit-accurate Python models.
Dimensions now match production radar_params.vh:
RP_FFT_SIZE=2048, RP_DECIMATION_FACTOR=4, RP_NUM_RANGE_BINS=512,
CHIRPS_PER_FRAME=48, NUM_DOPPLER_BINS=48 (3 sub-frames x 16-pt FFT).
Previously both TBs were pinned to legacy 32-chirp / 2-subframe / 1024->64
DECIM=16 dimensions. range_bin_decimator.v's 2-bit comparisons against
DECIMATION_FACTOR/2 only behave correctly for small DECIM, so the old
DECIM=16 path no longer worked even though the TBs compiled — that is
why Full-Chain Real-Data was reporting pass=0/fail=3.
Changes:
tb/cosim/real_data/gen_realdata_hex.py (new) - synthesises 6 fixture
files from a 2-target scene via DopplerProcessor (3-subframe) and
RangeBinDecimator (peak, 2048->512). Reproducible (fixed seed 42).
tb/cosim/real_data/golden_reference.py (deleted, 1436 lines) - the
legacy generator depended on out-of-tree ADI .npy captures and
modelled only the 2-subframe / 32-chirp path.
tb/cosim/real_data/hex/ - 43 orphan artifacts deleted (CFAR / MTI /
notched / detection / range-FFT debug dumps that nothing in the
active TB or regression was loading); 6 fixtures regenerated at
production dimensions:
doppler_input_realdata.hex 24576 packed lines (was 2048)
doppler_ref_{i,q}.hex 24576 lines each (was 2048)
fullchain_range_input.hex 98304 packed lines (was 32768)
fullchain_doppler_ref_{i,q}.hex 24576 lines each (was 2048)
tb/tb_doppler_realdata.v - CHIRPS 32->48, RANGE_BINS 64->512,
DOPPLER_FFT 32->48, MAX_CYCLES bumped.
tb/tb_fullchain_realdata.v - same + INPUT_BINS 1024->2048,
DECIM_FACTOR 16->4, fixed
decim_bin_index width to
RP_RANGE_BIN_WIDTH_MAX, fixed
start_bin width 10->11.
run_regression.sh - "Doppler Real-Data" label updated
(no longer "ADI CN0566"); both
realdata tests get explicit
--timeout values (300 / 600 s).
Standalone results:
tb_doppler_realdata - 24584/24584 PASS (3.36 s sim, ~50 s wall)
tb_fullchain_realdata - 24585/24585 PASS (4.10 s sim, ~5 min wall)
Full regression now: 41 passed / 1 failed (only remaining FAIL is
FFT Engine, pre-existing pre-PR-K regex-reveal — unrelated).