Block Sparse Representation based DOA Estimation for FDA with Unknown Mutual Coupling

被引：0

作者：

Wang, Qing ^{[1
]}

Wang, Han ^{[1
]}

Dou, Tongdong ^{[1
]}

Jin, Jie ^{[1
]}

Hou, Chunping ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China

来源：

PROCEEDINGS OF THE 2018 IEEE 7TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP) | 2018年

基金：

中国国家自然科学基金;

关键词：

FDA (Frequency Diverse Array); block sparse representation; unknown mutual coupling; l(1)-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：

Frequency diverse array (FDA) capable of diversity in both frequency and phase domain can improve range and angle resolution, which is attractive in Direction of Angle (DOA) estimation. But in practical realization, DOA estimation performance will be degraded by the mutual coupling effect between antennas. In this paper, a block sparse representation based mutual coupling calibration method is proposed for FDA DOA estimation. Steering vector parameterization method for effective block sparse representation utilize the inherent structure of received signals. And 11-SVD (singular value decomposition) method are adopted to make full use of the Toeplitz structure of the mutual coupling matrix and the whole array information of FDA. Simulation results show that the proposed method is effective for FDA with unknown mutual coupling.

引用

页码：536 / 538

页数：3