DocumentCode :
3154718
Title :
The estimate for DOAs of signals using sparse recovery method
Author :
Xu, Dongyang ; Hu, Nan ; Ye, Zhongfu ; Bao, Ming
Author_Institution :
Inst. of Stat. Signal Process., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
2573
Lastpage :
2576
Abstract :
This paper presents a new direction-of-arrival (DOA) estimation method using the concept of sparse representation of an array cross-correlation vector (ACCV), in which DOA estimation is achieved by finding the sparse parameter vector according to an optimization criterion. Compared with other sparse recovery algorithms the proposed method achieves a higher resolution and has a less computational complexity. The performance of our method is demonstrated and analyzed through numerical simulations.
Keywords :
array signal processing; correlation methods; direction-of-arrival estimation; numerical analysis; optimisation; signal representation; vectors; ACCV; array cross-correlation vector; computational complexity; direction-of-arrival estimation method; numerical simulations; optimization criterion; signal DOA estimation; sparse parameter vector; sparse recovery method; sparse representation; Arrays; Covariance matrix; Direction of arrival estimation; Estimation; Signal processing algorithms; Signal to noise ratio; Vectors; Direction-of-arrival; array cross-correlation vector; multiple measurement vectors; sparse recovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288442
Filename :
6288442
Link To Document :
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