PERFORMANCE EVALUATION AND ANALYSIS OF THRESHOLDING-BASED INTERFERENCE MITIGATION FOR AUTOMOTIVE RADAR SYSTEMS

被引:0
|
作者
Li, Jun [1 ]
Youn, Jihwan [2 ]
Wu, Ryan [1 ]
Overdevest, Jeroen [2 ]
Sun, Shunqiao [3 ]
机构
[1] NXP Semicond, San Jose, CA 95134 USA
[2] NXP Semicond, Eindhoven, Netherlands
[3] Univ Alabama, Tuscaloosa, AL USA
来源
2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW 2024 | 2024年
关键词
Automotive radar; interference mitigation; timefrequency analysis; CFAR detection; AUTONOMOUS VEHICLES;
D O I
10.1109/ICASSPW62465.2024.10627325
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
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, signalto-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.
引用
收藏
页码:204 / 208
页数:5
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