A Sparse Representation Method for DOA Estimation With Unknown Mutual Coupling
A Sparse Representation Method for DOA Estimation With Unknown Mutual Coupling
复制标题
互耦未知的波达估计的稀疏表示方法
DOI：
10.1109/lawp.2012.2223651
复制
发表时间：
2012-01-01
影响因子：
4.2
通讯作者：
Ji, Xiaofu
中科院分区：
文献类型：
--
作者：
Dai, Jisheng;Zhao, Dean;Ji, Xiaofu
稀疏表示的波达方向(DOA)估计方法已经被应用于许多情况，包括有限数量的采集的快照和高度相关的源。然而，它们的问题是缺乏相互耦合效应的规定。这封信描述了一种在存在未知相互耦合的情况下改进的稀疏表示方法。该方法利用均匀线阵互耦矩阵的特殊结构，从根本上消除了互耦效应。仿真结果验证了该方法的有效性。
Sparse representation methods for direction-of-arrival (DOA) estimation have been applied to many situations, which include limited number of collected snapshots and highly correlated sources. However, they suffer from a lack of provision for mutual coupling effect. This letter describes a modified sparse representation method in the presence of unknown mutual coupling. The new method takes advantage of the special structure of the mutual coupling matrix (MCM) for uniform linear arrays (ULAs) so as to eliminate the mutual coupling effect completely. Simulation results verify the efficiency of the proposed method.