Mutual interference suppression of LFMCW automotive radar based on EEMD and ARIMA models

Chen Yang; Guilong Yu

doi:10.1117/12.2657118

28 November 2022 Mutual interference suppression of LFMCW automotive radar based on EEMD and ARIMA models

Chen Yang, Guilong Yu

Proceedings Volume 12503, International Conference on Network Communication and Information Security (ICNCIS 2022); 125030B (2022) https://doi.org/10.1117/12.2657118
Event: International Conference on Network Communication and Information Security (ICNCIS 2022), 2022, Qingdao, China

Abstract

This paper proposes an interference suppression method based on EEMD and ARIMA models, which decomposes the radar received signal by EEMD, then detects the interference signal, and then uses ARIMA models to recover the target echo signals. After simulation verification, the method can effectively suppress the interference.

Citation Download Citation

Chen Yang and Guilong Yu "Mutual interference suppression of LFMCW automotive radar based on EEMD and ARIMA models", Proc. SPIE 12503, International Conference on Network Communication and Information Security (ICNCIS 2022), 125030B (28 November 2022); https://doi.org/10.1117/12.2657118

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