A CYCLOSTATIONARITY BASED ESPRIT ALGORITHM FOR DOA ESTIMATION OF UNIFORM CIRCULAR ARRAY

被引：4

作者：

Zhang, Qiutong ^{[1
]}

Liu, Yang ^{[1
]}

Long, Xudong ^{[1
]}

Song, Kaipeng ^{[1
]}

He, Xin ^{[1
]}

Ren, Xueli ^{[1
]}

Qiu, Tianshuang ^{[2
]}

机构：

[1] Inner Mongolia Univ, Coll Elect Informat Engn, Hohhot 010021, Peoples R China

[2] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China

来源：

2021 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) | 2021年

基金：

中国国家自然科学基金;

关键词：

DOA; UCA; cyclostationarity; beam space; PERFORMANCE ANALYSIS; ANGLE ESTIMATION; SIGNAL;

D O I：

10.1109/SSP49050.2021.9513864

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：

For the direction of arrival (DOA) estimation of cyclosationary signals in uniform circular array (UCA), a signal selective Least-Squares Estimation method of Signal Parameters via Rotational Invariance Techniques (LS-ESPRIT) with high estimation accuracy and low complexity is proposed. Firstly, the proposed algorithm transforms the UCA to a virtual uniform linear array (ULA) by using phase mode excitation. In addition, the beam transformation is combined with the cyclostationarity to suppress both interference and noise and improve the signal selection ability. Moreover, to reduce the complexity of DOA estimation, the signal subspace is decomposed by the LS-ESPRIT algorithm to estimate elevation and azimuth angles. Simulation results demonstrate the effectiveness of the proposed algorithm.

引用

页码：216 / 220

页数：5

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