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一种改进的联合概率数据关联算法的研究
引用本文:唐冬丽,李小兵,王志清.一种改进的联合概率数据关联算法的研究[J].弹箭与制导学报,2010,30(6).
作者姓名:唐冬丽  李小兵  王志清
作者单位:空军工程大学导弹学院,陕西三原,713800
摘    要:针对联合概率数据关联算法需要知道目标总数并要对矩阵差分,且计算量呈指数增长的问题,提出了一种模糊多门限概率关联算法,该算法利用测量与目标的关联概率来替代概率数据关联算法中可行联合事件概率的计算,改善性能的同时又减少了计算量。仿真结果表明该算法能有效的解决密集目标跟踪环境下的数据融合精度和收敛性问题,且计算量小。

关 键 词:多目标跟踪  联合概率数据关联算法  关联概率  

The Research on an Improved Arithmetic of Joint Probability Data Association
TANG Dongli,LI Xiaobing,WANG Zhiqing.The Research on an Improved Arithmetic of Joint Probability Data Association[J].Journal of Projectiles Rockets Missiles and Guidance,2010,30(6).
Authors:TANG Dongli  LI Xiaobing  WANG Zhiqing
Affiliation:TANG Dongli,LI Xiaobing,WANG Zhiqing (The Missile Institute,AFEU,Shaanxi Sanyuan 713800,China)
Abstract:According to the problems that the joint probability data association arithmetic needs the total number of targets and difference,and the computation capacity takes on exponential increase trend,a fuzzy and multi-gate limit probability data association arithmetic which uses the associated probability of target and measurement for calculation instead of the feasible associated incident probability was proposed.The results of the emulation indicate that the arithmetic is an effective solution with less calcul...
Keywords:multi-target tracking  joint probability data association arithmetic  associated probability  
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