fmcw_range_profile — RANGEDOPPLER process op

• 数据种类:beatcube → signal

• 调用:import rangedoppler; rangedoppler.fmcw_range_profile(cube, chirp=None, antenna=None, normalize=False)(或 opsrangedoppler.get("fmcw_range_profile"))

用法

仅距离的剖面:快时间 FFT 的幅度,在其余轴上平均。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

The 1-D marginal of :func: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 :mod:dsp` and

:mod:funct1d (`find_peaks, smooth_funct_1d_gauss, spectrum`)

apply to it directly.

Raises `ValueError: as :func:range_doppler_map`, plus an

out-of-bounds *chirp* index.

详细使用指南

• fmcw_range_doppler 族使用指南

参考(示例数据・文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

• 算法的正典(作者・年份)与用途见上面的族使用指南。

可运行的示例(实际调用该算子并已验证的样例)

• fmcw_range_doppler — py -3.11 examples/fmcw_range_doppler.py

类型可衔接的下一个算子(可接受 signal 作为输入)

—

同类别(process)

fmcw_window_apply · range_doppler_map · range_doppler_peaks

*Provenance: rangedoppler.py — RANGEDOPPLER 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

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