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radar-signal-processing

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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.

tasks/radar-vital-signs/environment/skills/radar-signal-processing/SKILL.md

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Nov 4, 2026
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Apache-2.0

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# Radar Signal Processing

Get from a raw binary I/Q capture to a clean 1-D phase trace that downstream vital-signs / motion analysis can consume.

## Pipeline (do every step in order)

1. **Parse binary I/Q to complex samples.** Use the JSON/YAML sidecar to determine format — never assume. See [references/iq-formats.md](references/iq-formats.md).
2. **(FMCW only) Range FFT across fast time** → 2-D range matrix. CW skips this step.
3. **Remove static clutter.** Subtract the temporal mean:
   - CW: `iq -= iq.mean()`
   - FMCW: `R -= R.mean(axis=0, keepdims=True)` on the range matrix
4. **(FMCW only) Pick the subject range bin.** See [references/range-bin.md](references/range-bin.md).
5. **Extract phase with unwrap:**
   ```python
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