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《Journal of Data Acquisition and Processing》 2011-01
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Modified Joint Probabilistic Data Association Algorithm

Liu Feng,Wu Xiaojun(School of Information Engineering,Jiangnan University,Wuxi,214122,China)  
The data association is the core of multi-target tracking and joint probabilistic data association algorithm(JPDA) is a typical method for multi-target tracking.But when the targets become very dense,the computational load is higher to cause the combinational explosion problem.The basic reason for the problem is that the computation of the confirmed matrix is divided into feasible matrices.To reduce the computation of JPDA,a modified algorithm of JPDA is proposed,which is inspired by the principle of Bound and Branch algorithm,and the last echo of each target can be determined.Stop searching when the echo is the last,and search next echo of target,until the end.Simulation results show that the time complexity is reduced by using the proposed algorithm for multi-target tracking in the clutter.
【Fund】: 教育部新世纪优秀人才计划(NCET-06-0467)资助项目;; 国家自然科学基金(60572034 60973094)资助项目;; 江苏省自然科学基金(BK2006081)资助项目;; 江南大学创新团队研究计划(JWIRT0702)资助项目
【CateGory Index】: TN953
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