基于托普利兹矩阵集重构的相干信源波达方向估计

doi:10.13229/j.cnki.jdxbgxb20181221

Abstract

Abstract:

Most of the state-of-the-art Toeplitz matrix reconstruction algorithms for direction-of-arrival (DOA) estimation of coherent signals use partial correction or covariance matrix information from the received signals, which leads to the incomplete information utilization, and denoising preprocessing is needed in some methods. To overcome this disadvantage, a modified algorithm is presented by adopting the entire correlation information of the received data from all array sensors to reconstruct a set of Toeplitz matrices. After Hermitian transpositing and forward/backward averaging, the equivalent full rank covariance matrix is utilized for coherent signals DOA estimation combined the ESPRIT algorithm with low computation. The presented method avoids denoising processing and the simulation results show the effectiveness of the proposed method.

Key words: information processing technology, direction-of-arrival(DOA), coherent signals, Toeplitz matrix, uniform linear array(ULA)

CLC Number:

TN911.7

Wei ZHANG,Yong HAN,Ming JIN,Xiao-lin QIAO. Toeplitz matrices reconstruction based DOA estimation for coherent signals[J].Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 703-710.

Figures/Tables 5

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Toeplitz matrices reconstruction based DOA estimation for coherent signals

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