Toeplitz matrices reconstruction based DOA estimation for coherent signals

被引：0
|
作者：
Zhang W. [1 ,2 ]
Han Y. [3 ]
Jin M. [3 ]
Qiao X.-L. [3 ]
机构：
[1] School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin
[2] School of Electrical & Information Engineering, North Minzu University, Yinchuan
[3] School of Information Engineering, Harbin Institute of Technology at Weihai, Weihai
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2020年 / 50卷 / 02期
关键词：
Coherent signals; Direction-of-arrival(DOA); Information processing technology; Toeplitz matrix; Uniform linear array(ULA);
D O I：
10.13229/j.cnki.jdxbgxb20181221
中图分类号：
学科分类号：
摘要：
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. © 2020, Jilin University Press. All right reserved.
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页码：703 / 710
页数：7
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