Open AccessBayesian algorithm for high‐resolution DOA estimation
Author(s) -
Zhang Yin,
Huang Yulin,
Yang Jianyu
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.1363
Subject(s) - maximum a posteriori estimation , algorithm , gaussian , direction of arrival , bayesian probability , bayesian information criterion , prior probability , computer science , statistic , constraint (computer aided design) , a priori and a posteriori , mathematics , maximum likelihood , statistics , artificial intelligence , telecommunications , philosophy , physics , geometry , epistemology , quantum mechanics , antenna (radio)
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.