%0 Journal Article
%T Improved particle filter algorithm for INS/GPS integrated navigation system<br>一种新的粒子滤波算法在INS/GPS组合导航系统中的应用
%A XIANG Li
%A LIU Yu
%A SU Bao-ku
%A <br>向礼
%A 刘雨
%A 苏宝库
%J 控制理论与应用
%D 2010
%I 
%X To deal with the problem sample degenerationand sample impoverishmentin traditional particle filter(PF), a new particle filter algorithm is presented. In the importance sampling, this new filter uses the difference filter and the latest observed measurements to generate the importance-density. In the resampling step, it makes use of the posterior density of the approximate states in the Gaussian mixture model and employs the expectation-maximization(EM) algorithm to calculate the parameters of the Gaussian ...
%K particle filter
%K expectation-maximization algorithm
%K INS/GPS
%K integrated navigation<br>粒子滤波
%K 最大期望算法
%K 惯导系统/全球定位
%K 组合导航
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=98221DB4B6F5EAE337FBC3AD6DC2C84E&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=BA79719BCA7341D5&eid=D5C9DC4EF2F78008&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=10