Parse raw radar I/Q captures (CW or FMCW mmWave) and produce a cleaned 1-D slow-time signal ready for motion or vital-signs analysis. Use when Claude needs to read interleaved I/Q binary, do a Range FFT on FMCW chirps, remove static clutter, pick a subject range bin, extract phase with unwrapping, or debug why a radar pipeline is returning garbage. Not for pulse/UWB range gating, MIMO beamforming, or Doppler-only gesture radar.
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Get from a raw binary I/Q capture to a clean 1-D phase trace that downstream vital-signs / motion analysis can consume.
iq -= iq.mean()R -= R.mean(axis=0, keepdims=True) on the range matrixphase = np.unwrap(np.angle(iq_or_bin))
phase -= phase.mean()
fs >= 500 Hz and downstream needs sub-Hz filtering, decimate first:
from scipy.signal import decimate
phase_ds = decimate(phase, q=int(fs/50), ftype='iir', zero_phase=True)
fs_new = fs / int(fs/50) # ~50 Hz target
| rule | why (short) |
|---|---|
| Use phase, not magnitude | 1 mm motion at 24 GHz ≈ 1 rad; magnitude is ~40 dB worse SNR |
Clutter removal goes before np.angle | DC offset anchors phase off zero, eats the unwrap budget |
| Never design a 0.1 Hz filter against a 2 kHz signal | SciPy biquad silently NaNs; decimate to ~50 Hz first |
Never argmax(magnitude) across all range bins | DC bin (bin 0) and static reflectors dominate — restrict to a physical subject-range window |
If the output is garbage, walk through references/debugging.md in order — it's fast and catches most ingestion/SNR bugs.
Pulse/UWB time-of-flight, MIMO angle-of-arrival, Doppler-only gesture radar.
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