现代雷达2025，Vol.47Issue(2)：58-65,8.DOI:10.16592/j.cnki.1004-7859.20230522001
基于非凸稀疏与低秩分解的车载雷达抗干扰方法
Interference Mitigation for Automotive Radars Based on Non-convex Sparse and Low-rank Decomposition
摘要
Abstract
Many potential traffic safety hazards are caused by the interference between millimeter wave radars widely used in vehi-cles and road equipment.To this end,a signal separation method based on non-convex regularized sparse and low-rank decomposi-tion to mitigate the mutual interference between radars is proposed in this paper.Firstly,the low-rank and sparse characteristics of target and interference components in radar echo signals are used to construct an optimization model,and the problem of interfer-ence mitigation is transformed into an optimization problem.Then,iterative optimization is performed using the alternating direction method of multipliers under the condition of using the maximal-minimal non-convex sparse penalty.Finally,the iterative process ends within a specified error range.The target and interference components are solved separately,and the useful signals and the in-terference signals are accurately separated.Compared with existing signal processing methods,the proposed method skips the cum-bersome interference detection step,and the correlation coefficient between the interference-suppressed signal and the pure refer-ence signal reaches 0.999 7.The results of simulation and subsequent experiment show that the proposed method has excellent per-formances in interference mitigation between radars.关键词
毫米波雷达/干扰抑制/低秩/稀疏/极大极小非凸稀疏惩罚Key words
millimeter wave radar/interference mitigation/low-rank/sparse/maximal-minimal non-convex sparse penalty(MCP)分类
电子信息工程引用本文复制引用
李家强,危雨萱,任梦豪,陈金立..基于非凸稀疏与低秩分解的车载雷达抗干扰方法[J].现代雷达,2025,47(2):58-65,8.基金项目
国家自然科学基金资助项目(62071238) （62071238）
