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