One- and two-dimensional direction-of-arrival estimation: An overview of search-free techniques

被引：87

作者：

Gershman, Alex B. ^{[1
]}

Ruebsamen, Michael ^{[1
]}

Pesavento, Marius ^{[1
]}

机构：

[1] Tech Univ Darmstadt, Commun Syst Grp, Inst Telecommun, D-64283 Darmstadt, Germany

来源：

SIGNAL PROCESSING | 2010年 / 90卷 / 05期

基金：

欧洲研究理事会;

关键词：

Array processing; Direction-of-arrival estimation; Root-MUSIC; ESPRIT; Array interpolation; Non-uniform sensor arrays; Rank reduction; SUBSPACE ROTATION APPROACH; 2-D ANGLE ESTIMATION; PERFORMANCE ANALYSIS; ROOT-MUSIC; MAXIMUM-LIKELIHOOD; SENSOR ARRAYS; PARAMETER-ESTIMATION; INTERPOLATED ARRAYS; MULTIPLE SOURCES; MODELING ERRORS;

D O I：

10.1016/j.sigpro.2009.12.008

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：

One of major challenges in applying traditional subspace-based direction finding techniques to real-time practical problems is in that they normally require an exhaustive spectral search over the angular parameter(s). Therefore, methods avoiding such a computationally demanding spectral search step are of great interest. In this paper, an overview of one- and two-dimensional search-free direction-of-arrival (DOA) estimation methods is presented. Both cases of uniform and non-uniform sensor arrays are addressed. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：1338 / 1349

页数：12

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