电波科学学报2012，Vol.27Issue(6)：1087-1093,1262,8.
水下被动目标参数估计的群体蒙特卡罗方法
Parameter estimation of underwater passive target using population Monte Carlo method
摘要
Abstract
A Bayesian high resolution direction of arrival(DOA) estimation method based on a time-domain wideband signal model is used for underwater passive target parameter estimation. Compared to conventional subspace class wideband high resolution methods, this method needs less snapshots and only requires real arithmetic. The population Monte Carlo (PMC) method is applied for Bayesian calculation which can implement model order selection and DOA estimation simultaneously. It can reduce the time of the procedure due to its parallel processing ability. Computer simulation is implemented aimed at a slightly complex situation of three sources, simulation results show that this method gives good performance of the model order selection and DOA estimation.关键词
被动目标方位估计/水下目标宽带辐射噪声/时域宽带信号模型/贝叶斯高分辨/模型阶数选择/群体蒙特卡罗Key words
passive target DOA estimation/wideband radiation noise of underwater target/time-domain wideband signal model/Bayesian high resolution/model orderselection/PMC分类
军事科技引用本文复制引用
陈钊,王海燕,刘郑国,申晓红..水下被动目标参数估计的群体蒙特卡罗方法[J].电波科学学报,2012,27(6):1087-1093,1262,8.基金项目
基金项目：国家自然科学基金 （）
博士点基金 （）
西北工业大学基础研究基金 （）
