%0 Journal Article
%T STATE ESTIMATION FOR TWO-LEVEL HYBRID MULTISENSOR DATA FUSION SYSTEMS<br>两级混合多传感器信息融合中的状态估计
%A He You
%A Lu Dajin
%A Peng Yingning
%A <br>何友
%A 陆大
%J 电子与信息学报
%D 1999
%I 
%X In hybrid multisensor systems where a part of sensors processes their data locally to produce local tracks, another part of sensors only provides detection reports, the tracks and detection reports are communicated to a central site where track fusion and composite filtering are performed. This paper presents a globally optimal composite filtering solution for a two-level hybrid multisensor system. It is shown that the fusion center first needs to fuse the local estimates from the L sensors, and then to update recursively the fused track by using a Kalman filter based on the observations of the other N-L sensors. This paper also considers the estimation problems based on the different Cartesian coordinates.
%K Data fusion
%K State estimation
%K Multisensor
%K Track fusion
%K Composite filtering<br>信息融合
%K 状态估计
%K 多传感器
%K 航迹融合
%K 组合滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=3E5C899673FB481244C8A7F5C12302B0&yid=B914830F5B1D1078&vid=659D3B06EBF534A7&iid=94C357A881DFC066&sid=6CDD207A90CE1EEC&eid=80BBC722D530DB8D&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=8