十字阵的单基地MIMO雷达中低复杂度的二维DOA估计算法  

Two-Dimensional DOA Estimation Algorithm for Monostatic MIMO Radar Based on Cross Array with Low Complexity

作　　者：吴海浪[1] 张小飞[1] 冯高鹏[1] 李建峰[1] 

机构地区：[1]南京航空航天大学电子信息工程学院,南京210016

出　　处：《数据采集与处理》2012年第2期156-161,共6页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(60801052)资助项目;航空科学基金(2009ZC52036)资助项目;南京航空航天科研基金(NS2010114)资助项目;南京航空航天大学2010年度第二批研究生创新基地(实验室)开放基金资助项目

摘　　要：提出了在单基地多输入多输出(Multiple-input multiple-output,MIMO)雷达中的基于十字阵的一种低复杂度的二维波达方向(Direction of arrival,DOA)估计算法。该算法利用传播算子法(Propagator method,PM)避免了协方差矩阵的构造及其特征值分解,也无需谱峰搜索,从而大大降低了运算的复杂度;同时该算法可实现方位角和仰角的自动配对。本文算法的性能在高信噪比下逼近借助旋转不变技术估计信号参数(Estimation ofsignal parameters via rotational invariance techniques,ESPRIT)算法。文中还推导了目标方位角和仰角的均方误差。仿真结果证明了该算法的有效性。The propagator method （PM） is presented for two-dimensional direction ot arrival （DOA） estimation with a low computational load based on cross array in monostatic multipleinput multiple-output （MIMO） radar. The proposed algorithm requires no construction of the cross correlation matrix and its eigen-value decomposition, and also avoids peak searching which consumes much time of computation. Therefore, the computational complexity can be considerably reduced. Meanwhile, the azimuth and elevation angles can be automatically paired using the algorithm. The algorithm performance approaehs to that of the estimation of signal parameters via rotational invariance techniques （ESPRIT） algorithm in high signal-to-noise ra- tio （SNR）, which has much higher complexity than the proposed algorithm. Moreover, the mean square errors of the azimuth and elevation angle estimation are derived. Simulation resuits prove the effectiveness and robustness of the proposed algorithm.

关 键 词：MIMO雷达 DOA估计 十字阵 传播算子法 

分 类 号：TN911.7[电子电信—通信与信息系统]