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*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • anti-interference
  • automotive radar
  • random stepped-frequency waveform

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