Fast and Accurate Range-Doppler Estimation in Multi-Target Wideband Automotive FMCW Radar

A. Moussa, W. Liu
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Abstract

This paper studies the application of wideband frequency-modulated continuous-wave (FMCW) radar where the received signals are sampled first before processing. It is shown that sampling at a rate of the same order as the transmitted signal bandwidth and reducing the processed fast-time interval, helps resolve the effect of some unwanted artifacts accompanied with increasing the bandwidth and the target’s radial velocity. A signal model is first developed to capture range and velocity parameters, and upper bounds are then defined on the bandwidth that separate the wideband scenario from the narrowband one; finally a novel two-stage multiple signal classification (MUSIC) based algorithm is proposed and simulation results are provided to demonstrate its performance.
多目标宽带汽车FMCW雷达快速精确距离多普勒估计
本文研究了宽带调频连续波(FMCW)雷达的应用,该雷达对接收到的信号先进行采样再进行处理。结果表明,采用与传输信号带宽相同阶的采样率,减小处理后的快速时间间隔,有助于消除带宽和目标径向速度增大带来的一些不需要的伪影的影响。首先开发一个信号模型来捕获距离和速度参数,然后在带宽上定义将宽带场景与窄带场景分开的上限;最后提出了一种新的基于两级多信号分类(MUSIC)的算法,并给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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