DocumentCode :
3608621
Title :
Bayesian algorithm for high-resolution DOA estimation
Author :
Yin Zhang ; Yulin Huang ; Jianyu Yang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
51
Issue :
21
fYear :
2015
Firstpage :
1701
Lastpage :
1702
Abstract :
A maximum a posteriori (MAP) algorithm based on Bayesian criterion for high-resolution direction-of-arrival (DOA) estimation in array signal processing is proposed. The generalised Gaussian distribution was considered as the prior information of sources distribution for its wide applicability. The statistic parameter of the generalised Gaussian function can be transformed according to different sources distribution conditions. Only the sparse signal recovery problem is considered. It is found that with the generalised Gaussian sparse constraint, the proposed MAP algorithm provides high DOA estimation performance in the case of limited snapshots. Simulation results are given to verify the effectiveness and efficiency of the proposed algorithm.
Keywords :
Bayes methods; Gaussian distribution; direction-of-arrival estimation; Bayesian algorithm; Bayesian criterion; array signal processing; generalised Gaussian distribution; generalised Gaussian sparse constraint; high-resolution DOA estimation; high-resolution direction-of-arrival estimation; maximum a posteriori algorithm; sources distribution; sparse signal recovery problem; statistic parameter;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2015.1363
Filename :
7300526
Link To Document :
بازگشت