process op• Data kinds: beatcube → signal
• Call: import fullseye as fs; fs.ledger.fmcw_range_profile(cube, chirp=None, antenna=None, normalize=False) (to call the implementation directly, import rangedoppler; rangedoppler.fmcw_range_profile(cube, chirp=None, antenna=None, normalize=False); from the registry, opsrangedoppler.get("fmcw_range_profile"))
Range-only profile: the fast-time FFT magnitude, averaged over the rest.
The 1-D marginal of range_doppler_map — what a static scene needs, and what a single chirp can give. Magnitudes are averaged (never the complex values) over chirps and antennas, so the average is independent of the target's velocity and angle: |FFT| does not rotate with the Doppler phase, only the phase does.
Bin j is j * c*f_s/(2*S*N_s) metres. With normalize=True a bin-centred target of amplitude a peaks at exactly a.
*chirp* / *antenna* select one slice instead of averaging. Returns a 1-D float64 array of length n_samples — a plain signal, so dsp and funct1d (find_peaks, smooth_funct_1d_gauss, spectrum) apply to it directly.
Raises ValueError: as range_doppler_map, plus an out-of-bounds *chirp* index.
• fmcw_range_doppler family guide
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• fmcw_range_doppler — py -3.11 examples/fmcw_range_doppler.py
signal as input)—
process)fmcw_window_apply · range_doppler_map · range_doppler_peaks
*Provenance: rangedoppler.py — RANGEDOPPLER operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.