Interference Suppression Algorithm for Millimeter Wave Radar Based on Independent Component Analysis

doi:10.3969/j.issn.1006-2475.2025.05.003

Abstract

Abstract: To solve the problem of interference between millimeter-wave radars resulting in decreased signal-to-noise ratio and target detection failure， an interference suppression algorithm based on independent component analysis was proposed. This algorithm can accurately determine the number and interval of interference in the signal， and does not require any prerequisites in interference suppression， with strong robustness. Firstly， the interference interval of the echo signal was detected by using the cell averaging-constant false alarm rate detection to determine the interference occurrence section. Then， the echo signals of the radar under different virtual receiving channels were subjected to fast independent component analysis to separate out the independent components. Finally， by template matching with the interference section， the interference signal and useful signal were determined， interference cancellation was achieved， and the signal was reconstructed. Experimental results show that this algorithm has good interference suppression effect on countering radar interference. The signal-to-noise ratio of strong target 1 is improved by about 14 dB， and the signal-to-noise ratios of weak target 2 and tanget 3 are improved by about 9 dB.

Key words: , mm wave radar； interference suppression； cross interference； cell averaging-constant false alarm rate detection； fast independent component analysis

CLC Number:

TN958.94

WANG Xing1, ZHONG Haili1, YU Yang2, LI Zhentao2, BAI Chuang1. Interference Suppression Algorithm for Millimeter Wave Radar Based on Independent Component Analysis[J]. Computer and Modernization, 2025, 0(05): 21-27.

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