A Bayesian Approach for Jointly Estimating the Model Order and the DOAs

摘要：

In this paper,a new array signal model structure based on signal reconstruction is proposed,that allows us to define a posterior distribution on the parameter space,which is applicable to both wideband and narrowband signal.The proposed method lends itself well to a Bayesian approach for jointly estimating the model order and the DOAs.We develop a hybrid MCMC algorithm based on reversible jump Markov chain Monte Carlo method to perform the Bayesian computation.Computer simulation results show that the correctness and efficiency of the new method,and significantly fewer observations and only real arithmetic is required.

作者: Jin Mei-na Zhao Yong-jun Ge Jiang-wei

作者单位: Zhengzhou Information Science and Technology Institute

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）