Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization

Abstract

In this study, we conducted a rigorous analysis of the signal characteristics of both the received echoes of targets and mutual interference. We then considered the low-rank property of strong mutual interference in the time domain, alongside the sparsity of targets within the RD domain. We then introduced a novel method predicated on RD sparse regularization for interference mitigation, target detection, and the estimation of three-dimensional parameters (range, velocity, and direction) for automotive radars. Detailed iteration deviation and experiment simulation can be found in Appendix B.