采用单次快拍数据实现MIMO雷达目标角度估计  

Receiver and Transmitter Angle Estimation for MIMO Radar Using One Snapshot

作　　者：陈群[1] 宁宁[1] 

机构地区：[1]洛阳师范学院,河南洛阳471022

出　　处：《廊坊师范学院学报（自然科学版）》2013年第3期45-50,共6页Journal of Langfang Normal University(Natural Science Edition)

摘　　要：通过深入研究多输入多输出(MIMO)雷达的角度估计算法,针对MIMO雷达角度估计中的实时性和相干目标源问题,基于双基地MIMO雷达的信号模型,提出了一种采用单次快拍数据的估计算法。算法采用MIMO雷达接收的单次快拍数据,构造出块Hankel矩阵,并证明该矩阵的秩等于总目标个数,且不受信号相关性的影响,通过奇异值分解获得对应的信号子空间,结合ESPRIT算法实现了对相干和非相干目标的收发角度估计。该算法减少了数据量和计算量,具有更好的实时处理性;通过矩阵的重构,能够准确地估计相干信源对应的信号或噪声子空间。由于采用了同一信号子空间,实现了参数的自动配对,更利于在实际中应用。计算机仿真结果证实了算法的有效性和可行性。The angle estimation algorithms of Multiple Input and Multiple Out（MIMO） radar have been studied.A new algorithm based on one single snapshot is proposed for the instantaneity and decorrelation problems among receiver and transmitter angle estimation for MIMO radar,which reconstructs a block Hankel matrix using the data vectors of one single snapshot based on bistatic MIMO radar system.It is proved that the rank of this block Hankel matrix is equal to the number of targets and has no relations with the coherency of the targets.Then accurate signal subspace can be acquired by performing eigenvalue decomposition of the matrix and the receiver and transmitter angle estimation of coherent and incoherent targets can be estimated combined with ESPRIT algorithm.This algorithm,resulting in a considerable computational saving,gets accurate signal and noise subspace of coherent and incoherent targets through the matrix reconstruction and enhances the performances of instantaneous estimation.The pairing problem can be solved because of using the same signal subspace,which will be more available in practice.Simulation results verify that the proposed algorithm is effective.

关 键 词：多输入多输出雷达 单次快拍 角度估计 块Hankel矩阵 

分 类 号：TN911.7[电子电信—通信与信息系统]