首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于聚类的多平台协同数据关联算法研究
引用本文:刘连柱.基于聚类的多平台协同数据关联算法研究[J].航天电子对抗,2012(3):55-58.
作者姓名:刘连柱
作者单位:中国人民解放军91404部队,河北秦皇岛066001
摘    要:从多平台协同工作的角度出发,针对目标和传感器观测数据之间的关联问题进行了研究。给出了模糊聚类目标函数、FCM算法步骤和量测目标归属判定方法,基于此,提出了模糊C-均值聚类和量测目标归属判定算法,然后提出了基于聚类算法的多平台协同多目标数据关联算法。仿真实验结果表明,该算法数据关联正确率较高,能够提升跟踪精度。

关 键 词:模糊聚类  数据关联  目标跟踪  模式识别

Multi-platform cooperative data association algorithm based on clustering
Liu Lianzhu.Multi-platform cooperative data association algorithm based on clustering[J].Aerospace Electronic Warfare,2012(3):55-58.
Authors:Liu Lianzhu
Institution:Liu Lianzhu (Unit 91404 of PLA, Qinhuangdao 066001, Hebei,China)
Abstract:The problem of correlation between sensor measurement data and targets is studied from the point of view of multi-platform cooperation. The target function of fuzzy clustering, the steps of the FCM algorithm and the method of target affiliation determination are given. Based on these, the algorithm of fuzzy Cmean clustering and the target affiliation determination are presented. The multi-platform cooperative multi-target data association algorithm based on clustering algorithm(MCMDAA-CA) is then proposed.. Stimulation experiments validated that this algorithm can increase the correctness of data association,and therefore enhances the tracking accuracy.
Keywords:fuzzy clustering  data association  target tracking  pattern recognition
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号