Joint Diagonalization Based 2D DOA Estimation for Mixed Circular and Strictly Noncircular Sources

被引：0

作者：

Chen, Hua ^{[1
]}

Hou, Chunping ^{[1
]}

Zhu, Wei-Ping ^{[2
]}

Liu, Wei ^{[3
]}

Dong, Yang-Yang ^{[4
]}

Wang, Qing ^{[1
]}

机构：

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

[2] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada

[3] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England

[4] Xidian Univ, Minist Educ, Key Lab Elect Informat Countermeasure & Simulat T, Xian 710071, Shaanxi, Peoples R China

来源：

2017 IEEE RADAR CONFERENCE (RADARCONF) | 2017年

关键词：

DIRECTION-OF-ARRIVAL; COEXISTENCE; MUSIC;

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：

In this paper, a two-dimensional (2-D) direction-of- arrival (DOA) estimation method for a mixture of circular and strictly noncircular signals is presented based on a uniform rectangular array (URA). By exploiting the second-order non-circularity of incoming signals, a computationally effective ESPRIT-like method is developed to estimate the 2-D DOAs of mixed sources. The proposed method can automatically pair the estimated DOAs by joint diagonalization of two direction matrices. It can also solve the angle ambiguity problem when multiple incoming signals have the same angle theta or beta. Simulation results are provided to verify the effectiveness of the proposed method.

引用

页数：5

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