%0 Journal Article
%T Interval diffracted particle filter<br>区间衍生粒子滤波器
%A Ning Xiao-Lei
%A Wang Hong-Li
%A Zhang Qi
%A Chen Lian-Hua
%A <br>宁小磊
%A 王宏力
%A 张琪
%A 陈连华
%J 物理学报
%D 2010
%I 
%X A new particle filter based on interval filter and particle diffraction is proposed for the on-line estimation of non-Gaussian and nonlinear system with uncertain dynamics modeling. This algorithm computes the more accurate importance density function, which integrates the latest observations into the system state transition density, so that the approximation to the system posterior density is improved. At the same time, the workload of calculation is reduced by treating particle diffraction like light diffraction. A simulation experiment on the SINS/CNS (strap-down inertial navigation system/celestial navigation system) attitude estimation shows the effectiveness and robustness of the improved algorithm.
%K particle filter
%K interval filter
%K particle diffraction
%K attitude estimation<br>粒子滤波
%K 区间滤波
%K 粒子衍生
%K 姿态估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=C59D79EA5B98B45FB2DF42738CED9024&yid=140ECF96957D60B2&vid=6AC2A205FBB0EF23&iid=DF92D298D3FF1E6E&sid=AEF1ABA7F7BFD2D6&eid=E0F428C9191B110F&journal_id=1000-3290&journal_name=物理学报&referenced_num=1&reference_num=10