FMCW车载雷达自适应干扰抑制方法  

Mutual Interference Suppression Method for FMCW Automotive Radar

作　　者：李阳[1,2] 王楚媛 陈桥 李枫 胡程 LI Yang;WANG Chuyuan;CHEN Qiao;LI Feng;HU Cheng(Radar Research Laboratory,School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China;Beijing Institute of Technology Chongqing Innovation Center,Chongqing 401120,China;Beijing Rxbit Electronic Technology Co.,Ltd,Beijing 100081,China)

机构地区：[1]北京理工大学信息与电子学院雷达技术研究所,北京100081 [2]北京理工大学重庆创新中心,重庆401120 [3]北京理工睿行电子科技有限公司,北京100081

出　　处：《信号处理》2021年第2期258-267,共10页Journal of Signal Processing

基　　金：国家重点研发计划资助(2018YFE0202101,2018YFE0202102,2018YFE0202103);国家自然科学基金(61701026)。

摘　　要：车载雷达间相互干扰可能会导致传感器灵敏度降低,某些情况下会产生虚警。针对这个问题,本文提出了一种基于粒子群优化和自适应对消的干扰抑制方法。该方法将发射端波形优化及接收端自适应滤波相结合,进一步提高雷达的干扰抑制能力。首先采用粒子群算法进行波形参数优化,在参数约束范围内最小化波形相关性,缓解虚警问题,然后基于正交接收机内干扰的正负频谱共轭相关而目标信息仅存在于频谱正半部分的特点,通过最小均方迭代得到最优滤波器,实现自适应干扰对消。仿真结果表明,该方法对多干扰有良好的抑制效果。Mutual interference between automotive radars may reduce the sensitivity of the sensor, and false alarms may occur sometimes. To solve this problem, this paper proposed an interference suppression method based on particle swarm optimization and adaptive cancellation. This method combines waveform optimization at the transmitter and adaptive filtering at the receiver to further improve the radar’s interference suppression capabilities. First, the particle swarm algorithm is used to optimize the waveform parameters to minimize the waveform similarity within the parameter constraints and alleviate the false alarm problem. Then, based on the characteristics that the interference is conjugate correlated in the positive and negative spectrum and the target is only in the positive half of the spectrum, obtain the optimal filter through least mean square iteration to achieve adaptive interference cancellation. The simulation verifies that this method has a good suppression effect for many kinds of interferences.

关 键 词：调频连续波雷达 相互干扰 干扰抑制 自适应信号处理 

分 类 号：TN973.3[电子电信—信号与信息处理]