Joint Ambiguity and Migration Mitigation for Enhanced High-Speed Moving Target Detection

2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING)(2022)

引用 0|浏览0
暂无评分
摘要
In this paper, a simple Doppler-range processing (DRP) algorithm was first presented to mitigate two well-known problems encountered in high-speed moving target detection using automotive radar, i.e., range/Doppler migration and velocity ambiguity. DRP algorithm can achieve full range and velocity resolutions, as well as attaining coherent integration gains, while requiring a computational complexity comparable to that of the conventional range-Doppler processing (RDP) approach. Moreover, it can also automatically resolve the velocity ambiguity problems. We then introduce a data-adaptive spotlighting (DAS) algorithm to detect weak targets buried by shadow sidelobes of nearby strong targets with folded velocities. The effectiveness of the proposed algorithms are demonstrated by numerical examples.
更多
查看译文
关键词
Linear Frequency-Modulated Continuous Wave (LFMCW) Radar, Range/Doppler Migration, Velocity Ambiguity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要