Bayesian algorithm for high-resolution DOA estimation

• Published in: Electronics letters Vol. 51; no. 21; pp. 1701 - 1702
• Main Authors: Zhang, Yin, Huang, Yulin, Yang, Jianyu
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 08.10.2015
• Subjects: Algorithms; array signal processing; Arrays; Bayes methods; Bayesian algorithm; Bayesian analysis; Bayesian criterion; Computer simulation; Criteria; direction‐of‐arrival estimation; Gaussian; Gaussian distribution; generalised Gaussian distribution; generalised Gaussian sparse constraint; high‐resolution direction‐of‐arrival estimation; high‐resolution DOA estimation; maximum a posteriori algorithm; Radar, sonar and navigation; Signal processing; sources distribution; sparse signal recovery problem; statistic parameter; Statistics; high-resolution DOA estimation; sources distribution; Gaussian distribution; statistic parameter; direction-of-arrival estimation; Bayesian criterion; maximum a posteriori algorithm; generalised Gaussian sparse constraint; Bayesian algorithm; sparse signal recovery problem; Bayes methods; generalised Gaussian distribution; high-resolution direction-of-arrival estimation; array signal processing
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2015.1363

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.