DocumentCode :
592962
Title :
DOA Estimation of Coherent Signals Based on Improved SVD Algorithm
Author :
Zhao Zhi-jin ; Wang Yang ; Xu Chun-Yun
Author_Institution :
State Key Lab. of Inf. Control Technol. in Commun. Syst., Hangzhou Dianzi Univ., Hangzhou, China
fYear :
2012
fDate :
8-10 Dec. 2012
Firstpage :
524
Lastpage :
528
Abstract :
In the light of that the general super-resolution subspace algorithms are invalid to coherent signals and the resolution of singular value decomposition (SVD) algorithms is reduced in the presence of low-SNR, an improved SVD algorithm to direction-of-arrival (DOA) estimation is proposed. Firstly, a new matrix is constructed from the maximum eigenvector of the signal covariance matrix according to certain rules. Secondly, the reconstruction matrix is corrected by using the idea of matrix decomposition to enhance the decorrelation ability. Finally, ESPRIT method is utilized to DOA estimation. The simulation results show that the proposed algorithm has high estimation success probability, small estimation bias, and low estimation standard error for DOA estimation of the coherent signals in low-SNR condition.
Keywords :
covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; probability; singular value decomposition; DOA estimation; ESPRIT method; SVD algorithm; coherent signals; decorrelation ability; direction-of-arrival estimation; eigenvector; estimation bias; estimation standard error; estimation success probability; general superresolution subspace algorithms; low-SNR condition; matrix decomposition; reconstruction matrix; signal covariance matrix; singular value decomposition algorithms; Arrays; Covariance matrix; Direction of arrival estimation; Estimation; Matrix decomposition; Smoothing methods; Vectors; DOA estimation; SVD algorithm; coherent signals; matrix decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-5034-1
Type :
conf
DOI :
10.1109/IMCCC.2012.130
Filename :
6428963
Link To Document :
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