鱼雷技术2011，Vol.19Issue(6)：415-422,8.
基于RJMCMC方法的水下被动目标声源数和方位联合估计
Joint Estimation of Source Number and DOA for Underwater Passive Target Based on RJMCMC Method
摘要
Abstract
Conventional wideband signal processing method of subspace class wideband requires more snapshots to get a better estimation result. We apply a Bayesian high resolution direction of arrival(DOA) estimation method based on the time-domain wideband signal model to underwater passive target DOA estimation. Compared with conventional sub-space class methods, the proposed method can process signal directly in time-domain and needs remarkably less snapshots. We use a time-domain wideband signal model to construct a posterior probability density function(PDF) of the parameters according to Bayes law, and then use the reversible jump Markov chain Monte Carlo(RJMCMC) method for Bayesian estimation to search peaks of the posterior PDF. This method can jump among parameter spaces with different orders, thus can implement joint model order (I.e. Source number) and DOA estimation. Simulation results show that the RJMCMC method exhibits good performance in joint estimation of model order and DOA.关键词
被动目标方位估计/时域宽带模型/贝叶斯高分辨/模型阶数检测/可逆跳变马尔可夫链蒙特卡罗(RJMCMC)Key words
passive target direction of arrival (DOA) estimation/time-domain wideband model/Bayesian high resolution/model order detection/reversible jump Markov chain Monte Carlo (RJMCMC)分类
军事科技引用本文复制引用
陈钊,刘郑国,王海燕,申晓红,和斌..基于RJMCMC方法的水下被动目标声源数和方位联合估计[J].鱼雷技术,2011,19(6):415-422,8.基金项目
国家自然科学基金(60972153),博士点基金(20096102110038),西北工业大学基础研究基金(NPU-FFR-JC201004). （60972153）
