低信噪比双基地MIMO雷达目标角度跟踪算法  

Target Angle Tracking Algorithm of Bistatic MIMO Radar with Low Signal-to-Noise Ratio

作　　者：张正言 张剑云 郑志东 李小波 ZHANG Zheng-yan;ZHANG Jian-yun;ZHENG Zhi-dong;LI Xiao-bo(Troop 75775,Guangzhou,Guangdong 510010,China;National University of Defense Technology,Hefei,Anhui 230037,China;Troop 32802,Beijing 100191,China)

机构地区：[1]75775部队,广东广州510010 [2]国防科技大学电子对抗学院,安徽合肥230037 [3]32802部队,北京100191

出　　处：《电子学报》2019年第12期2480-2487,共8页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61671453,No.61201379);安徽省自然科学基金(No.1608085MF123)

摘　　要：研究了低信噪比时双基地MIMO雷达目标跟踪问题,提出了一种基于改进AAJD(Adaptive Asymmetric Joint Diagonalization)的目标跟踪算法.首先,对AAJD算法进行改进,得到与特征值作用相同的变量,从而找出大特征值变量对应的特征矢量,解决了低信噪比时AAJD算法信号子空间扩展问题.其次,在非稳定跟踪状态时消除特征值变量误差积累的影响,得到更加准确的信号子空间,并对ESPRIT算法进行改进,实现收发角度的配对和相邻时刻角度的自动关联.仿真结果表明改进AAJD算法低信噪比时能够实现角度跟踪,且收敛速度和稳定性能明显优于AAJD算法.The target tracking problem of bistatic MIMO radar under low SNR is studied,and a target tracking algorithm based on the improved AAJD(Adaptive Asymmetric Joint Diagonalization)is proposed.Firstly,the AAJD algorithm is improved to obtain the variable as the eigenvalue and the criterion of selecting the feature vector.The eigenvalue variables are used to find the eigenvectors corresponding to the large eigenvalue variables.And the problem of signal subspace expansion in AAJD algorithm is solved at low SNR.Secondly,the influence of the accumulation of the eigenvalue variables error is eliminated in the unsteady tracking state.The obtained signal subspace is more accurate.Since the estimated eigenvectors order is random at each time,the ESPRIT algorithm is improved to achieve the automatic pairing of transceiver angle of the same moment and the automatic association of the angle of the adjacent moment.The simulation results show that the improved AAJD algorithm can realize the angle tracking with low signal to noise ratio,and the convergence speed and stability performance are significantly better than AAJD algorithm.

关 键 词：双基地MIMO雷达 角度跟踪 特征值变量 扩展信号子空间 角度配对和关联 

分 类 号：TN958[电子电信—信号与信息处理]