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一种新的避免航迹合并的比例联合概率关联算法
引用本文:徐一兵,董莎莎,刘益,陈松林.一种新的避免航迹合并的比例联合概率关联算法[J].火力与指挥控制,2011,36(10):30-32.
作者姓名:徐一兵  董莎莎  刘益  陈松林
作者单位:1. 解放军西安通信学院,西安,710106
2. 解放军西安通信学院,西安 710106;西安交通大学电子与信息工程学院,西安710049
3. 总装某试验基地,西安,710000
基金项目:国家重点基础研究发展计划“973计划”基金资助项目(2007CB311006)
摘    要:通过对传统的联合概率数据关联算法(JPDA)在平行临近及小角度交叉目标的关联跟踪中引起的航迹合并问题的分析,提出了一种基于最大交互概率的改进比例联合概率数据关联算法.该算法找出距离两逼近目标的交互概率中心最近的有效观测,引入一比例因子对该观测与所有目标的关联概率进行修正,将逼近目标“拉开”,从而抑制了航迹的合并.仿真结...

关 键 词:联合概率数据关联  平行临近目标  航迹合并  最大交互概率  比例因子

A Novel Scaled Joint Probabilistic Data Association Used in Avoiding Track Coalescence
XU Yi-bing,DONG Sha-sha,LIU Yi,CHEN Song-lin.A Novel Scaled Joint Probabilistic Data Association Used in Avoiding Track Coalescence[J].Fire Control & Command Control,2011,36(10):30-32.
Authors:XU Yi-bing  DONG Sha-sha  LIU Yi  CHEN Song-lin
Institution:XU Yi-bing1,DONG Sha-sha1,2,LIU Yi3,CHEN Song-lin1(1.Xi'an Communication Institute,Xi'an 710106,China,2.School of Electronic and Information Engineering,Xi'anJiaotong University,Xi'an 710049,3.The Experiment base of General Armament Department,Xi'an 710000,China)
Abstract:Through analysis of coalescence neighboring tracks in the application of joint probability data association,this paper proposes a novel Scaled Joint Probabilistic Data Association(SJPDA) algorithm based on the maximum interact probability,which finds the nearest measurement to the interact probability 'center' of the neighboring targets,and then updates the association probability between the expected measurement and targets to avoiding track coalescence.The simulations prove the effectiveness of the novel ...
Keywords:joint probabilistic data association  neighboring targets  track coalescence  maximum interact probability  scaled factor  
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