A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array

被引：14

作者：

Wang, Qing ^{[1
]}

Yang, Hang ^{[1
]}

Chen, Hua ^{[1
]}

Dong, Yangyang ^{[2
]}

Wang, Laihua ^{[3
]}

机构：

[1] Tianjin Univ, Sch Elect & Informat Engn, 92 Weijin Rd, Tianjin 300072, Peoples R China

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

[3] Qufu Normal Univ, Sch Software, Qufu 273165, Peoples R China

来源：

SENSORS | 2017年 / 17卷 / 01期

基金：

中国国家自然科学基金;

关键词：

low-complexity; 2D DOA estimation; L-shaped array; automatic pairing; theoretical analysis; Cramer-Rao bound; 2-D DOA ESTIMATION; PAIR-MATCHING METHOD; ANGLE ESTIMATION; ALGORITHM; MATRICES; SVD;

D O I：

10.3390/s17010190

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and azimuth angles without eigendecomposition, which can avoid high computational cost. In addition, the cross-correlation matrix eliminates the effect of noise, which can achieve better DOA performance. Then, the theoretical error of the algorithm is analyzed and the Cramer-Rao bound (CRB) for the direction of arrival estimation is derived. Simulation results demonstrate that, at low signal-to-noise ratios (SNRs) and with a small number of snapshots, in contrast to Tayem's algorithm and Kikuchi's algorithm, the proposed algorithm achieves better DOA performance with lower complexity, while, for Gu's algorithm, the proposed algorithm has slightly inferior DOA performance but with significantly lower complexity.

引用

页数：14

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