基于秩减估计器的L型阵列二维波达角估计算法  

Rank Reduction Estimator Based Algorithm for Estimating 2D-DOA with L-shaped Array

作　　者：魏子翔[1] 崔嵬[1] 侯建刚[1] 吴嗣亮[1] 

机构地区：[1]北京理工大学信息与电子学院,北京100081

出　　处：《电子与信息学报》2015年第8期1879-1885,共7页Journal of Electronics & Information Technology

基　　金：上海航天科技基金(SAST201215);新世纪优秀人才支持计划(NCET-13-0034)资助课题

摘　　要：针对L型阵列2维波达角(2D-DOA)估计问题,该文提出了一种新的基于秩减估计器的算法。该算法利用辅助角将2D-DOA估计问题转换为两个级联的1D-DOA估计问题:首先采用基于传播算子的秩减估计器获得高精度的辅助角估计;其次利用辅助角估计结果获得某一入射角的一元代价函数,借鉴root-MUSIC算法通过对多项式求根获得某一入射角估计,而另一入射角估计可由已得角度估计和辅助角估计通过简单转换获得且两入射角之间无需配对。运算量分析表明,该算法运算量与JEADE算法接近,大于CODE和root-MUSIC算法。仿真实验验证了该算法在不同信噪比、快拍数目条件下可获得高精度的DOA估计结果。A novel algorithm is proposed for Two-Dimensional （2D） Direction Of Arrival （DOA） estimation issue with L-shaped array. By introducing an auxiliary electrical angle, 2D-DOA estimation problem is solved by two-step 1D-DOA estimation. Firstly auxiliary electrical angle estimation is given by a propagator based RAnk Reduction Estimator （RARE）. Then a cost function about one incident angle is obtained, and the incident angle estimation is given by K zeros of polynomial relating to the cost function. Finally, The other incident angle estimation is given by simple algebraic operation between the obtained auxiliary electrical angle and incident angle estimations. Computational burden analysis is given in this paper. It is shown that the proposed algorithm has a roughly same computational burden with JEADE algorithm, while both of them has larger burden than CODE and root-MUSIC algorithms. Further, the Root-Mean-Square-Error （RMSE） expressions of the incident angle estimates are derived to validate the performance of the proposed algorithm.

关 键 词：信号处理 L型阵列 2维波达角 秩减估计器 传播算子算法 

分 类 号：TN911.7[电子电信—通信与信息系统]