低快拍下单基地MIMO雷达DOA估计方法  

DOA Estimation for Monostatic MIMO Radar with a Few Snapshots

作　　者：李晓龙[1] 陈客松[1] 朱盼[2] 

机构地区：[1]电子科技大学电子工程学院,成都611731 [2]中国民用航空总局第二研究所,成都610041

出　　处：《科学技术与工程》2013年第32期9526-9530,共5页Science Technology and Engineering

基　　金：国家自然科学基金(U1233103);中国博士后自然科学基金(2012M511919)资助

摘　　要：针对单基地多输入多输出(MIMO)雷达低快拍数下DOA估计分辨力下降的问题,提出一种基于稀疏信号表示的DOA估计方法。利用目标在空域的稀疏性,将DOA估计问题转化为稀疏信号恢复问题。建立了MIMO雷达阵列流形的过完备字典,同时利用MIMO雷达接收方向向量与发射方向向量Kronecker乘积的特点,对接收数据进行降维预处理;然后再采用一种非参数的迭代算法完成DOA估计。在低快拍情形下,方法比降维Capon算法有更高的分辨力。仿真实验验证了所提方法的有效性。The resolution of DOA estimation in monostatic muhipIe input muhiple output （MIMO） radar system will decrease in the absence of large number of snapshots. A new approach is proposed to find the direction based on the sparse representation of the receipt signal. Utilizing the target＇ s sparsity in the space field, the DOA estima- tion problem can be transformed to recovering the sparse signal from the receipt data. An overcomplet dictionary of the array manifold for the MIMO radar is used to establish the sparse model of the problem. Using the property of the Kronecker product of the receive steering vector and transmit steering vector, the dimension of the receipt signal can be reduced. Finally one can obtain the DOA estimation via a nonparametric iterative adaptive approach. The proposed method has higher resolution than the reduced-complexity Capon algorithm with a few snapshots. The sim- ulation results confirm the effectiveness of the new method.

关 键 词：MIMO雷达 稀疏信号恢复 迭代适应法(IAA) 到达角(DOA)估计 降维 

分 类 号：TN953.3[电子电信—信号与信息处理]