A broadband mutual interference suppression method for FMCW vehicle-mounted radar based on dictionary matrix construction

with the rapid development of intelligent driving technology, the number of vehicle-mounted millimeter-wave radars in the actual road increases dramatically, resulting in serious mutual interference problems between vehicle-mounted radar systems, which poses a serious threat to intelligent driving technology and human-vehicle safety. Aiming at the above problems, this paper analyzes the observation model of mutual interference between target signals and vehicles, and proposes an anti-broadband interference method based on dictionary matrix construction, which realizes effective separation and suppression of interference signals by constructing the dictionary matrix of target echo signals and the dictionary matrix of interfering signals respectively, and employs the sparse decomposition technique, and carries out experimental verification. The experimental results show that the method has good signal separation effect, and can realize accurate separation of signals in the case of target and interference distance or speed mixing, and significantly improve the Signal-to-Interference and Noise Ratio (SINR) of the target signal and target detection performance.