DocumentCode :
3387407
Title :
SVD-based method for DOA estimation in the presence of mutual coupling
Author :
Yi Qu ; Jian Zhang
Author_Institution :
Inf. Dept., Eng. Univ. of Armed Police Force, Xi´an, China
fYear :
2013
fDate :
23-25 March 2013
Firstpage :
1633
Lastpage :
1636
Abstract :
A method for direction finding in the presence of mutual coupling is proposed. The method uses the singular value decomposition (SVD) to calculate coupling coefficients from the initial estimates of the direction-of-arrival (DOA). Exploiting these calculated coupling coefficients, the DOA can be estimated precisely by the multiple signal classification (MUSIC) algorithm. Based on this, Blind calibration is realized by several iterations between coupling coefficients and DOA. To deal with the local optimum problem occurring in these iterations, two improved methods for single and multiple sources respectively are presented. Simulation results demonstrate the effectiveness of the proposed methods.
Keywords :
blind source separation; direction-of-arrival estimation; iterative methods; optimisation; signal classification; singular value decomposition; DOA estimation; MUSIC algorithm; SVD-based method; blind calibration; coupling coefficients; direction finding; direction-of-arrival estimation; iterations; local optimum problem; multiple signal classification; mutual coupling; singular value decomposition; Calibration; Couplings; Direction-of-arrival estimation; Estimation; Multiple signal classification; Mutual coupling; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
Type :
conf
DOI :
10.1109/ICIST.2013.6747850
Filename :
6747850
Link To Document :
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