基于差分共啁啾的非均匀PRF汽车FMCW雷达

Lifan Xu, Shunqiao Sun, K. Mishra
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引用次数: 1

摘要

我们提出了一种汽车雷达系统,该系统以非均匀脉冲重复频率(PRF)传输,以实现高分辨率距离和多普勒估计,同时沿慢时间稀疏传输,遵循不同的共啁啾方案,例如,互质和嵌套啁啾。在接收端,雷达允许低采样慢时信号用于多普勒估计。在单个相干处理间隔(CPI)中,缺失的慢时间多普勒样本通过使用快时间样本构建的多普勒协方差矩阵进行插值。我们的联合啁啾距离-多普勒估计与多普勒去混叠(CoDDler)算法联合估计距离和多普勒。利用插值多普勒样本得到的多普勒频谱去混叠稀疏估计中的假多普勒峰。提出的非均匀PRF汽车雷达提供了以时分复用方式进行传输协调的可能性,通过节省近88%的目标到达时间来避免相互干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Difference Co-Chirps-Based Non-Uniform PRF Automotive FMCW Radar
We propose an automotive radar system that transmits at non-uniform pulse repetition frequency (PRF) to achieve high-resolution range and Doppler estimation while transmitting sparsely along slow-time following the difference co-chirps schemes, e.g., coprime and nested chirps. At the receiver, the radar admits undersampled slow-time signals for Doppler estimation. In a single coherent processing interval (CPI), the missing Doppler samples along slow-time are interpolated via a Doppler covariance matrix that is constructed using fast-time samples. Our co-chirp joint range-Doppler estimation with Doppler de-aliasing (CoDDler) algorithm jointly estimates the range and Doppler. The Doppler spectrum obtained from the interpolated Doppler samples are utilized to de-aliase any false Doppler peaks in the sparse estimation. The proposed non-uniform PRF automotive radar provides the possibility for transmission coordination in a time division multiplexing fashion to avoid mutual interference by saving nearly 88% of time-on-target.
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