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基于数据压缩的多传感器不敏滤波算法
引用本文:管旭军,芮国胜,周旭,张玉玲.基于数据压缩的多传感器不敏滤波算法[J].武汉大学学报(信息科学版),2010(4).
作者姓名:管旭军  芮国胜  周旭  张玉玲
作者单位:海军航空工程学院电子信息工程系;92854部队;
基金项目:国家自然科学基金资助项目(60572161)
摘    要:针对非线性系统中杂波环境下的集中式多传感器多目标跟踪问题,提出了一种基于数据压缩技术的多传感器不敏滤波算法。仿真结果表明,与MSJPDA/EKF算法相比,本文提出的算法具有更高的跟踪精度和稳定性,同时所选取的粗关联准则使算法的计算量减少了62%。

关 键 词:不敏卡尔曼滤波  数据关联  多传感器  多目标跟踪  非线性  

Multisensor Unscented Filter Algorithm Based on Data Compression
GUAN Xujun, RUI Guosheng ZHOU Xu ZHANG Yuling.Multisensor Unscented Filter Algorithm Based on Data Compression[J].Geomatics and Information Science of Wuhan University,2010(4).
Authors:GUAN Xujun  RUI Guosheng ZHOU Xu ZHANG Yuling
Institution:GUAN Xujun1,2 RUI Guosheng1 ZHOU Xu1 ZHANG Yuling2(1 Department of Electronic , Information Engineering,Naval Aeronautics ,Astronautics University,188 Erma Road,Yantai 264001,China)(2 92854 Troops,Zhanjiang 524009,China)
Abstract:A novel multisensor multitarget unscented filter algorithm based on data compression,SD-DCUKF,is proposed for the centralized multsisensor multitarget tracking problem of nonlinear system in clutter.In the new algorithm,the measurements from multiple sensors are first combined according to the rule of generalized S-D assignment algorithm and the optimal partition can be achieved.In order to reduce the computation burden,a new coarse association rule is proposed for S-D assignment.Then in the optimal partiti...
Keywords:UKF  data association  multisensor  multitarget tracking  nonlinearity  
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