range_doppler_peaks — RANGEDOPPLER process op

• Datenarten: image2d → table

• Aufruf: import fullseye as fs; fs.ledger.range_doppler_peaks(rdmap, range_bin_m=1.0, velocity_bin_ms=1.0, n_peaks=1, min_fraction=0.1, doppler_shifted=True) (die Implementierung direkt: import rangedoppler; rangedoppler.range_doppler_peaks(rdmap, range_bin_m=1.0, velocity_bin_ms=1.0, n_peaks=1, min_fraction=0.1, doppler_shifted=True); aus dem Register: opsrangedoppler.get("range_doppler_peaks"))

Verwendung

Detektionen aus einer Range-Doppler-Karte: Bin-Indizes zurück in Meter und m/s.

> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.

Finds strict local maxima of the 2-D magnitude map — greater than all eight neighbours, cyclically along the Doppler axis (velocity really is periodic in the FFT: the fastest receding bin is adjacent to the fastest approaching one) and openly along the range axis (a cell in the first or last range bin competes only against the neighbours that exist, so a target in the last bin is a detection, not a discard) — keeps those at least *min_fraction* of the global maximum, and returns the strongest *n_peaks*.

Range bin 0 is reported like any other. In a real receiver it is the transmitter-leakage / DC bin rather than a target, but suppressing it here would be a silent policy applied to somebody else's data; threshold it yourself if you want it gone.

Index -> physical value, closed form and the exact inverse of fmcw_beat_simulate:

• range_m = j * range_bin_m, with range_bin_m = c*f_s/(2*S*N_s)

from fmcw_design;

• velocity_ms = (i - n_doppler//2) * velocity_bin_ms when *doppler_shifted* (the layout range_doppler_map produces), or i wrapped into [-N_c/2, N_c/2) when the map is unshifted.

The bin widths are required parameters with placeholder defaults of 1.0, which means the default output is in bins, not metres. That is deliberate:

inventing a default waveform here would let a caller read metres off a map that was never that waveform's.

Returns a dict with peaks (a list of per-detection dicts holding range_m, velocity_ms, magnitude, range_bin, doppler_bin), n_found, max_magnitude and noise_floor (the median of the map).

Raises ValueError: a non-2-D, complex, negative, or non-finite map; a map whose maximum is 0 (an all-zero map has no cell to detect and returning cell (0,0) — which is what argmax does — would be a fabricated detection); a non-positive bin width; *n_peaks* < 1; a *min_fraction* outside [0, 1].

Ausführlicher Anwendungsleitfaden

• Leitfaden zur Familie fmcw_range_doppler

Referenzen (Beispieldaten, Literatur)

• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).

• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.

• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.

Ausführbare Beispiele (verifizierte Samples, die diesen Operator wirklich aufrufen)

• fmcw_range_doppler — py -3.11 examples/fmcw_range_doppler.py

Typkompatible Folge-Operatoren (nehmen table als Eingabe)

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Gleiche Kategorie (process)

fmcw_window_apply · range_doppler_map · fmcw_range_profile


*Provenance: rangedoppler.py — RANGEDOPPLER Operator-Registry. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.