基于联合对角化的MIMO雷达近场目标定位  

Near-Field Target Localization for MIMO Radar Based on Joint Diagonalization

作　　者：周二宁 姜宏[1] 苏康 ZHOU Erning;JIANG Hong;SU Kang(Jilin University, Changchun 130012, China;Guangdong Neusoft Institute, Foshan 528200, China)

机构地区：[1]吉林大学通信工程学院,吉林长春130012 [2]广东东软学院,广东佛山528200

出　　处：《雷达科学与技术》2021年第4期430-434,共5页Radar Science and Technology

基　　金：国家自然科学基金(No.61371158,61771217);吉林省自然科学基金(No.20180101329JC)。

摘　　要：目标定位经典算法有很多,但大多不能直接适用于MIMO雷达近场目标定位,而现存的单基地MIMO雷达近场目标定位算法很少。为了解决这个问题,提出了一种基于联合对角化的MIMO雷达近场多目标定位算法。该算法使用十字形收发阵列,利用接收信号的协方差矩阵构造新的矩阵,灵活运用联合对角化算法得到发射角和距离估计值,再利用谱峰搜索得到接收角估计值。该算法和现有的MIMO雷达近场目标定位算法相比,精度高,无相位模糊问题,且参数能自动配对。仿真实验证明了算法的有效性。There are many classical target localization algorithms.However,most of them cannot be directly applied to near-field target localization for MIMO radar,and there are few near-field target localization algorithms for monostatic MIMO radar.To solve this problem,a novel near-field multi-target localization algorithm is proposed for MIMO radar based on joint diagonalization.The algorithm employs a cross-shaped transceiver array model and uses the covariance matrix of the received signal to construct a new matrix.Then the joint diagonalization algorithm is used flexibly to obtain the transmitter angle estimate and distance estimate.At last the spectral peak search is used to obtain the receiver angle estimate.Compared with the existing MIMO radar near-field target localization algorithms,this algorithm yields higher accuracy without the phase ambiguity,and the parameters can be automatically paired.Simulation results prove the effectiveness of the proposed algorithm.

关 键 词：MIMO雷达 近场 目标定位 联合对角化 

分 类 号：TN957[电子电信—信号与信息处理]