Sparse Representation-Based Method for Two-Dimensional Direction-of-Arrival Estimation with L-Shaped Array

被引：0
|
作者：
Luo, Xiaoyu [1 ]
Fei, Xiaochao [1 ]
Wei, Ping [1 ]
Gan, Lu [1 ]
机构：
[1] Univ Elect Sci & Technol China, Dept Elect Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION PROBLEM-SOLVING (ICCP) | 2014年
关键词：
SVD;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel sparse representation-based method for two-dimensional (2-D) direction-of-arrival (DOA) estimation with L-shaped array is proposed. In our method, the 2-D DOA estimation is cast as a reconstituted problem of sparse matrix. The model for sparse-matrix reconstitution is first presented based on the cross-correlation matrix. Then an extended orthogonal matching pursuit (EOMP) algorithm is put forward to reconstitute the sparse matrix. With the use of the model for sparse-matrix reconstitution and EOMP algorithm, pair matching is no longer required in our method, and the estimation accuracy of our method is higher than the existing subspace-based and sparse representation-based methods. The simulation results demonstrate the effectiveness and efficiency of the proposed method.
引用
收藏
页码：277 / 280
页数：4
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