基于遗传算法的车载毫米波雷达快速校准方法分析  

Analysis of Fast Calibration Method for Vehicle Millimeter Wave Radar Using Genetic Algorithm

作　　者：刘金升 王俊伟 李鹏 高江梅 LIU Jinsheng;WANG Junwei;LI Peng;GAO Jiangmei(Institute of Aerospace Information Innovation,Chinese Academy of Sciences,Beijing 100190,China.;Beijing Xingyidao Technology Co.,Ltd.,Beijing 100015,China.;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China.)

机构地区：[1]中国科学院空天信息创新研究院,北京100190 [2]北京行易道科技有限公司,北京100015 [3]中国科学院大学电子电气与通信工程学院,北京100049

出　　处：《电子技术（上海）》2023年第5期42-45,共4页Electronic Technology

摘　　要：阐述相位校准是MIMO雷达重要的部分。天线阵元初始相位、位置误差以及相互耦合会产生相位误差。目前最为精确的误差补偿方式是通过测量雷达各个角度回波峰值的相位,通过插值等方式生成虚拟天线阵的导向矢量,进而进行DOA估计或超分辨成像。但在雷达量产过程中,如果测量角度间隔过低,即采样次数过多,会导致产线生产效率降级,提高测量角度间隔则会导致角度估计误差增大,甚至导致超分辨算法失效,提出了一种利用遗传算法减少校准点位的校准方法,解决了校准流程耗时长的问题。This paper explains that phase calibration is an important part of MIMO radar.The initial phase of the antenna array elements,position errors,and mutual coupling can produce phase errors.The most accurate way to compensate for the error is to measure the phase of the peak echoes at each angle of the radar and generate the guidance vector of the virtual antenna array by interpolation,etc.,and then perform DOA estimation or super-resolution imaging.However,in the process of radar mass production,if the measurement angle interval is too low,i.e.,too many times of sampling,it will lead to degradation of the production line productivity,and increasing the measurement angle interval will lead to an increase of the angle estimation error or even the failure of the super-resolution algorithm.In order to solve these problems,it proposes a calibration method to reduce the calibration points by genetic algorithm and solve the problem of time-consuming calibration process.

关 键 词：天线校准 遗传算法 毫米波雷达 MIMO 

分 类 号：TN958[电子电信—信号与信息处理] TP18[电子电信—信息与通信工程]