Subspace extension algorithm for 2D DOA estimation with L-shaped sparse array

被引：21

作者：

Liu, Sheng ^{[1
]}

Yang, Lisheng ^{[1
]}

Li, Dong ^{[1
]}

Cao, Hailin ^{[1
]}

机构：

[1] Chongqing Univ, Key Lab Aerocraft Tracking Telemetering Command &, Chongqing 400044, Peoples R China

来源：

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2017年 / 28卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Subspace extension; DOA estimation; Sparse linear array; Cross-correlation matrix; Pairing-matching; PAIR-MATCHING METHOD; SIGNAL COVARIANCE MATRICES; ANGLE ESTIMATION; ARRIVAL; ESPRIT;

D O I：

10.1007/s11045-016-0406-3

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A subspace extension algorithm for two-dimensional (2D) direction-of-arrival (DOA) estimation with an L-shaped array is proposed. This L-shaped array is comprised of two orthogonal sparse linear arrays (SLAs). Each SLA consists of two different uniform linear arrays. The cross-correlation matrix of received data is used to construct two extended signal subspaces, by which the azimuth angles and elevation angles can be estimated independently. The procedure used to extend signal subspace only needs a small amount of calculation. Then, an effective pair-matching method is addressed to pair the estimated elevation angles and azimuth angles. Although the signal subspaces are extended, the complexity of the proposed 2D DOA estimation algorithm is lower than many similar algorithms. Simulation results indicate the availability of the proposed pairing-matching method and subspace extension algorithm.

引用

页码：315 / 327

页数：13

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