首页 | 本学科首页   官方微博 | 高级检索  
     

加权采样的序列蒙特卡罗滤波技术
引用本文:杜云明,颜兵兵. 加权采样的序列蒙特卡罗滤波技术[J]. 火力与指挥控制, 2012, 37(3): 46-50
作者姓名:杜云明  颜兵兵
作者单位:1. 佳木斯大学信息电子技术学院,黑龙江佳木斯,154007
2. 佳木斯大学机械工程学院,黑龙江佳木斯,154007
基金项目:黑龙江省自然科学基金(E200805);佳木斯市2011年度重点科研基金(11077);桂木斯大学科研基金资助项目(L2011-003)
摘    要:在处理非线性滤波问题时,常用的几种通过模型近似或计算近似的滤波方法均在某种特定的情况下具有适用性.近年来随着计算机处理能力的快速发展,提出了序列蒙特卡罗滤波方法,因其在处理复杂的非线性和非高斯问题时表现出强大的潜力而引起广泛关注.详述了序列蒙特卡罗滤波算法的基本思想和原理,对其关键技术进行了归纳分析,并指出了该方法亟待解决的一些难点问题.

关 键 词:非线性滤波  序列蒙特卡罗(SMC)  贝叶斯估计  重要性采样

Research of Sequential Monte Carlo Filtering Techniques Based on Weighted Sampling
DU Yun-ming , YAN Bing-bing. Research of Sequential Monte Carlo Filtering Techniques Based on Weighted Sampling[J]. Fire Control & Command Control, 2012, 37(3): 46-50
Authors:DU Yun-ming    YAN Bing-bing
Affiliation:1.College of Information and Electronic Technology,Jiamusi 154007,China,2.College of Mechanical Engineering,Jiamusi University,Jiamusi 154007,China)
Abstract:In disposing nonlinear filter question,the several filter methods,by utilizing model approximation or computation approximation,have applicability in some specific situation.In recent years,along with rapid development of computer handling ability,the sequential Monte Carlo filter method is proposed.Because the method possesses the strong potentiality in the processingcomplex non-linearity and the non-Gauss questions,it has caught people’s attention.In this paper,the basic thoughts and principles of the sequential Monte Carlo filter algorithm are introduced.Then some critical technologies of the filter method are summarized and analyzed.Finally,some issues are pointed out which should be the focus of future study.
Keywords:nonlinear filtering  sequential Monte Carlo  Bayesian estimation  important sampling
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号