process op• 데이터 종류: beatcube → image2d
• 호출: import fullseye as fs; fs.ledger.range_doppler_map(cube, combine='incoherent', antenna=None, normalize=False)(구현을 직접 호출하려면 import rangedoppler; rangedoppler.range_doppler_map(cube, combine='incoherent', antenna=None, normalize=False), 원장에서 가져오려면 opsrangedoppler.get("range_doppler_map"))
비트 큐브의 2-D FFT -> (n_doppler, n_range) 크기 맵.
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
Fast time transforms to range (last axis, not shifted: bin j is j * c*f_s/(2*S*N_s) metres, and a physical range is always positive so the whole [0, f_s) band is used). Slow time transforms to velocity (middle axis, fftshifted so the map is centred on zero velocity: bin i is (i - N_c//2) * lambda/(2*N_c*T_c) metres per second, positive = receding).
The antenna axis is collapsed by *combine*: "incoherent" (default) is the mean of the magnitudes, which is angle independent and therefore the right default for detection; "coherent" is the magnitude of the mean, i.e. a beam pointed at boresight, which attenuates an off-boresight target on purpose. antenna=k uses element k alone. For a single-element cube all three agree exactly.
normalize=True divides by N_c * N_s, so a bin-centred target of amplitude a peaks at exactly a (measured: 1.0 for a unit target, absolute error 0.0). The default False keeps the raw FFT magnitude.
No window is applied — compose fmcw_window_apply first if you want one. The output is a plain 2-D float64 array, so every 2-D operator in Fullseye (threshold, morphology, labelling, blob measurement — the pieces a CFAR detector is made of) applies to it directly.
Raises ValueError: a real-valued cube (it would put a mirror ghost of every target at a fabricated range), fewer than 2 chirps or 2 samples, an out-of-range *antenna* index, an unknown *combine*, a cube over the element cap, an FFT that overflows to NaN, or NaN/Inf on the way in.
• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.
• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.
• 알고리즘의 정전(저자·연도)과 용도는 위의 패밀리 사용 가이드에 적혀 있습니다.
• fmcw_range_doppler — py -3.11 examples/fmcw_range_doppler.py
image2d 를 입력으로 받는 것)process)fmcw_window_apply · range_doppler_peaks · fmcw_range_profile
*Provenance: rangedoppler.py — RANGEDOPPLER 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.