range_doppler_map — RANGEDOPPLER process op

• 資料種類:beatcube → image2d

• 呼叫: import fullseye as fs; fs.ledger.range_doppler_map(cube, combine='incoherent', antenna=None, normalize=False)(要直接呼叫實作,import rangedoppler; rangedoppler.range_doppler_map(cube, combine='incoherent', antenna=None, normalize=False);從台帳取用則 opsrangedoppler.get("range_doppler_map"))

用法

拍頻立方體的 2-D FFT -> (n_doppler, n_range) 振幅圖。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

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.

詳細使用指南

• fmcw_range_doppler 族使用指南

參考(範例資料、文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

• 演算法的正典(作者、年份)與用途見上面的族使用指南。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• fmcw_range_doppler — py -3.11 examples/fmcw_range_doppler.py

型別可銜接的下一個運算子(可接受 image2d 作為輸入)

range_doppler_peaks

同類別(process)

fmcw_window_apply · range_doppler_peaks · fmcw_range_profile


*Provenance: rangedoppler.py — RANGEDOPPLER 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

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