低快拍下MIMO雷达收发角度联合估计方法  

Joint DOD and DOA estimation for MIMO radar with lower snapshots

作　　者：王咸鹏 王伟[1] 马跃华[1] 王君祥[1] 

机构地区：[1]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2014年第9期1129-1134,共6页Journal of Harbin Engineering University

基　　金：新世纪优秀人才支持计划基金资助项目(NCET-11-0287);中央高校基本业务费专项基金资助项目(HEUCFX41308);中国博士后科学基金资助项目(2014M550182);黑龙江省博士后特别资助项目(LBH-TZ0410);哈尔滨市科技创新人才资助项目(2013RFXXJ016)

摘　　要：在多输入多输出(MIMO)雷达中,基于二阶统计特性的子空间角度算法在低快拍条件下的估计性能急骤下降,甚至在单快拍时失效。针对该问题,提出一种扩展阵列孔径的二维联合空间平滑多目标波离方向(DOD)和波达方向(DOA)估计方法。该算法对MIMO雷达的发射端和接收端进行二维联合空间平滑,并利用MIMO雷达虚拟阵列的旋转不变特性对阵列孔径进行扩展,然后根据ESPRIT算法获得目标的DOD和DOA,且DOD和DOA自动配对。与基于二阶统计特性的子空间算法相比,且所提算法在低快拍条件下具有更加优越的角度估计性能,因所提算法能够适用于单快拍条件。仿真结果表明了所提方法的有效性和优越性。The angle estimation performance of subspace algorithms based on the second order statistical characteristic is seriously descended with low snapshots in multiple-input multiple-output （ MIMO） radar, even invalid with single snapshot. In order to solve this problem, a joint two-imensional spatial smoothing multi-objective DOD and DOA estimation algorithm with enlarged array aperture is proposed. The proposed algorithm constructs a joint two-dimensional spatial smoothing for both transmit array and receive array, and enlarges the aperture of array by exploiting the shift invariance property of the virtual array in MIMO radar. Then the DOD and DOA can be estimated by ESPRIT, which are paired automatically. Compared with the second order statistical characteristic based subspace algorithms, the proposed method provides better angle estimation performance with lower snapshots. Furthermore, the proposed method is suitable for single snapshot. Simulation results are presented to verify the effectiveness and advantages of the proposed method.

关 键 词：MIMO雷达 双基地 角度估计 空间平滑 孔径扩展 

分 类 号：TN957.51[电子电信—信号与信息处理]