谷歌浏览器插件
订阅小程序
在清言上使用

Performance Evaluation and Analysis of Thresholding-based Interference Mitigation for Automotive Radar Systems

2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)(2024)

引用 0|浏览3
暂无评分
摘要
In automotive radar, time-domain thresholding (TD-TH) and time-frequency domain thresholding (TFD-TH) are crucial techniques underpinning numerous interference mitigation methods. Despite their importance, comprehensive evaluations of these methods in dense traffic scenarios with different types of interference are limited. In this study, we segment automotive radar interference into three distinct categories. Utilizing the in-house traffic scenario and automotive radar simulator, we evaluate interference mitigation methods across multiple metrics: probability of detection, signal-to-interference-plus-noise ratio, and phase error involving hundreds of targets and dozens of interfering radars. The numerical results highlight that TFD-TH is more effective than TD-TH, particularly as the density and signal correlation of interfering radars escalate.
更多
查看译文
关键词
Automotive radar,interference mitigation,time-frequency analysis,CFAR detection
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