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Analysis on Anti-Interference Performance of Random Stepped-Frequency Waveform for Automotive Radar

  • Zaiyang Wang
  • , Wentao Xu
  • , Shanshan Lu
  • , Can Liang
  • , Le Zheng
  • , Xueyao Hu*
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • Xi'an Electronic Engineering Research Institute

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

With the widespread application of automotive radar, the likelihood of inter-radar interference has significantly increased, especially in complex urban environments. Utilizing advanced waveforms is crucial for radar anti-interference. This paper investigates the anti-interference capabilities of automotive radar using the Random Stepped-Frequency (RSF) waveform. Initially, we analyze automotive radar interference under traditional Frequency Modulated Continuous Wave (FMCW). Subsequently, we explore the anti-interference principle of the RSF waveform by deriving its signal model. Finally, numerous experiments are conducted to demonstrate the superior anti-interference performance of the RSF waveform. The results indicated that the RSF waveform markedly reduces radar signal collision probability in both time and frequency domains, thereby reducing the interference probability of radar.

源语言英语
主期刊名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331515669
DOI
出版状态已出版 - 2024
活动2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, 中国
期限: 22 11月 2024 → 24 11月 2024

出版系列

姓名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

会议

会议2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
国家/地区中国
市Zhuhai
时期22/11/24 → 24/11/24

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