%0 Journal Article
%T Evolutionary particle filter and its application<br>进化粒子滤波算法及其应用
%A MO Yi-wei
%A XIAO De-yun
%A <br>莫以为
%A 萧德云
%J 控制理论与应用
%D 2005
%I 
%X Sample impoverishment phenomenon is a main handicap to particle filter application,especially in those cases to estimate the parameter that remains constant for a long time.Based on the analysis of the causes of sample impoverishment,the evolutionary particle filter is proposed,in which evolutionary programming is introduced.The improved approach relieves the effect caused by samples impoverishment through ameliorating the diversity of samples set.Simulation results demonstrate the feasibility of proposed evolutionary particle filter.
%K particle filter
%K samples impoverishment
%K evolutionary programming
%K state estimation<br>粒子滤波算法
%K 样本贫化
%K 进化规划
%K 状态估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=55CB99C2068E2B7B&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=0B39A22176CE99FB&sid=1A363081E1FF7014&eid=4E6F5C60B72D9B1C&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=15&reference_num=11