%0 Journal Article
%T Research on Air-to-Sea Bearing-Only TMA by Auxiliary Variable Particle Filtering<br>基于辅助变量粒子滤波的空对海BO-TMA的研究
%A Cheng Shui-ying
%A Zhang Jian-yun
%A <br>程水英
%A 张剑云
%J 电子与信息学报
%D 2007
%I 
%X In comparison with the Extended Kalman Filtering(EKF) algorithm,the Auxiliary Variable Particle Filtering(AVPF) algorithm is exploited in this paper to solve the problem of TMA based on Bearing-Only measurements(BO-TMA) . Firstly,the problem of nonlinear filtering is identified in nature as the groundwork embedded in TMA. The PF(Particle Filtering) and the AVPF algorithms are then introduced,including their design consideration and elements of algorithms. Particular attention is paid to the problem of single observer air-to-sea BO-TMA. The discrete-time models are formulated pertinent to the nonlinear filtering problem and a typical scenario is depicted. The contrast results of Monte Carlo simulations between the AVPF and EKF have demonstrated that AVPF is more feasible to the air-to-sea BO-TMA by virtue of its favorable consistency with higher accuracy and better convergence.
%K Recursive nonlinear filtering
%K Extended Kalman filtering
%K Particle filtering
%K Auxiliary variable particle filtering
%K Bearing-only target motion analysis<br>递推非线性滤波
%K 扩展卡尔曼滤波
%K 粒子滤波
%K 辅助变量粒子滤波
%K 只测方位目标运动分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=3A3B6EBA50BEC1A289E5E0DE59055ABD&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=3C2B0085DDCE7118&eid=FD1B16C94E0C9045&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10