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Bayesian Maximum a Posterior DOA Estimation UsinBayesian Maximum a Posterior DOA Estimation Using Gibbs Sampling and Particle Filtering
Liwei Tian *,Jianguo Huang
College of Marine Engineering, Northwestern Polytechnical University
*Correspondence author
#Submitted by
Subject:
Funding: 国家自然科学基金; 高等学校博士学科点专项科研基金（No.60272076; 200206990）
Opened online:30 December 2005
Accepted by: none
Citation: Liwei Tian,Jianguo Huang.Bayesian Maximum a Posterior DOA Estimation UsinBayesian Maximum a Posterior DOA Estimation Using Gibbs Sampling and Particle Filtering[OL]. [30 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4765
 
 
The performance of Bayesian Maximum a posterior DOA estimator (BMAP) is excellent [1, 2], and it also can be used to estimate the DOAs of coherent sources [3]. However, the computation burden of this estimator is very large. In order to resolve the problem of computation burden, a new BMAP using Gibbs sampling and particle filtering is proposed and the formulation of this new estimator is derived. The simulation results show that the new estimator not only keeps the excellent performance of the original BMAP, but also provides reduced computational complexity of this estimator from O(LK) to O(K×J×Ns×N) especially for K>3 due to K Ns<N<J<L.
Keywords:DOA estimation; particle filter; high-resolution; computational complexity
 
 
 

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