In order to reduce the computation of BM DOA Estimator, Markov Chain Monte Carol (MCMC) methods are applied and Bayesian Maximum a posterior DOA Estimator based on Gibbs Sampling (GSBM) is given.

• 为了解决贝叶斯最大后验概率方位估计方法计算量大的问题,课题组把马尔可夫链蒙特卡罗方法应用于贝叶斯估计,给出了基于吉布斯抽样的贝叶斯最大后验概率方位估计方法(Bayesian Maximum a posterior DOA Estimatorbased on Gibbs Sampling,简称GSBM DOA Estimator)。