一种基于数据矩阵重构的相干信源二维测向新方法

doi:10.3969/j.issn.1001-2400.2013.02.021

Abstract

Abstract:

The performance of classical two dimensional (2-D) Direction-Of-Arrival (DOA) estimation algorithms degrade substantially in the presence of coherent environment. A new DOA matrix method——DOA matrix method based on data matrix reconstruction (DMR-DOAM) is proposed for 2-D DOA estimation in the coherent source environment. The proposed algorithm reconstructs two Toeplitz equivalent covariance matrices by using cross-correlation information among receiving data from arrays. Decorrelation and 2-D DOA estimation can be realized via the eigen-decomposition of the new DOA matrix. The algorithm can retain the advantages of the traditional DOA matrix method, such as automatical parameter alignment and no need of 2-D search spectrum peak. The equivalent covariance matrices only use the middle column of classical covariance matrices, so the calculation amount is reduced, and the algorithm can be realized easily. Furthermore, the paper analyzes the estimation performance and influencing factors of the proposed algorithm. Theoretical analyses and simulation results both show that the proposed algorithm is effective.

Key words: array signal processing, direction of arrival, 2-D DOA estimation, coherent signals, Toeplitz matrix, decorrelation, parameter estimation

CLC Number:

TN911.23

WANG Ling;LI Guolin;LIU Jianqiang;MAO Weiping. New method for estimating 2-D DOA in the coherent source environment based on data matrix reconstruction[J].J4, 2013, 40(2): 130-137.

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New method for estimating 2-D DOA in the coherent source environment based on data matrix reconstruction

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