DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance

被引：1

作者：

Li, Jianshu ^{[1
]}

Lin, Zhiping ^{[1
]}

Razul, Sirajudeen Gulam ^{[2
]}

Kumar, A. Anil ^{[2
]}

Zheng, Yuanjin ^{[1
]}

See, Chong-Meng ^{[3
]}

机构：

[1] Nanyang Technol Univ, Sch EEE, 50 Nanyang Ave, Singapore 639798, Singapore

[2] Temasek Labs NTU, 50 Nanyang Dr, Singapore 637553, Singapore

[3] DSO Natl Labs, 20 Sci Pk Dr, Singapore 118230, Singapore

来源：

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2018年 / 29卷 / 02期

关键词：

Direction of arrival; Array signal processing; Rotational arrays; Unknown spatial noise covariance; QUASI-STATIONARY SIGNALS; RAO SUBSPACE APPROACH; OF-ARRIVAL ESTIMATION; MAXIMUM-LIKELIHOOD; SPARSE REPRESENTATION; MUSIC; ALGORITHM; RECONSTRUCTION; LOCALIZATION; PERFORMANCE;

D O I：

10.1007/s11045-016-0425-0

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Direction of Arrival (DOA) estimation is one of the major tasks in array signal processing. In this paper, a new DOA estimation method is proposed using a rotational uniform linear array (RULA) consisting of omnidirectional sensors. The main contribution of the proposed method is that the number of distinguishable signals is larger than the methods in the literature with a uniform linear array consisting of the same number of omnidirectional sensors. Moreover, the new method can effectively reduce unknown spatial noises using a generalized complement projection matrix under the RULA framework. Simulations are presented to illustrate the effectiveness of the proposed method and comparison with some existing DOA estimation methods is also made.

引用

页码：537 / 561

页数：25

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