Compressive Sensing for High-Resolution Direction-of-Arrival Estimation via Iterative Optimization on Sensing Matrix

被引：0

作者：

Li, Hongtao ^{[1
]}

Wang, Chaoyu ^{[1
,2
]}

Zhu, Xiaohua ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China

[2] China Shipbuilding Ind Corp, Nanjing 210003, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION | 2015年 / 2015卷

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1155/2015/713930

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 compressive sensing-(CS-) based direction-of-arrival (DOA) estimation algorithm is proposed to solve the performance degradation of the CS-based DOA estimation in the presence of sensing matrix mismatching. Firstly, a DOA sparse sensing model is set up in the presence of sensing matrix mismatching. Secondly, combining the Dantzig selector (DS) algorithm and least-absolute shrinkage and selection operator (LASSO) algorithm, a CS-based DOA estimation algorithm which performs iterative optimization alternatively on target angle information vector and sensing matrix mismatching error vector is proposed. The simulation result indicates that the proposed algorithm possesses higher angle resolution and estimation accuracy compared with conventional CS-based DOA estimation algorithms.

引用

页数：5

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