%0 Journal Article
%T Optimal Asynchronous Recursive Track Fusion with Global Feedback<br>带有信息反馈的最优异步递推航迹融合算法
%A Wen Cheng-lin
%A Ge Quan-bo
%A Liu Shuang-jian
%A <br>文成林
%A 葛泉波
%A 刘双剑
%J 电子与信息学报
%D 2009
%I 
%X Asynchronous fusion is common in processing multisensor data fusion problems and the asynchronous track fusion which adopts distributed fusion architecture has an extensive application among asynchronous fusion. In current asynchronous track fusion algorithms, the global feedback is mostly not established from fusion center to local sensors, so the local estimate can not be improved by the global estimate. Another defect among these algorithms is the correlation between the local prediction track estimate errors is ignored; thereby the accuracy of global estimate is reduced. In order to improve the estimate precision of the fusion system, the correlation is considered and the global feedback is introduced in this paper, accordingly a novel optimal asynchronous track fusion algorithm with feedback is presented. Compared with the current algorithm without global feedback and correlation, the proposed method can improve the estimate performance of the fusion system. The algorithm analysis and simulations both show the advantages of the novel algorithm.
%K Multisensor system
%K Asynchronous track fusion
%K Global feedback
%K Correlation
%K Recursive fusion<br>多传感器系统
%K 异步航迹融合
%K 全局反馈
%K 相关性
%K 递推融合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=17B574DA7A2A7EFA2BD522F8A8417BE4&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=9CF7A0430CBB2DFD&sid=A4F4D28C1A7C14B6&eid=EFA8E15DC5F0C101&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=18