[1]黄建军,李鹏飞,喻建平,等.基于类云模型聚类的多目标数据关联算法[J].深圳大学学报理工版,2010,27(1):11-15.
 HUANG Jian-jun,LI Peng-fei,YU Jian-ping,et al.Multitarget data association algorithm using cluster cloud model based c-means clustering[J].Journal of Shenzhen University Science and Engineering,2010,27(1):11-15.
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基于类云模型聚类的多目标数据关联算法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第27卷
期数:
2010年1期
页码:
11-15
栏目:
光电与信息工程
出版日期:
2010-01-31

文章信息/Info

Title:
Multitarget data association algorithm using cluster cloud model based c-means clustering
文章编号:
1000-2618(2010)01-0011-05
作者:
黄建军1李鹏飞12 喻建平1阮宜武2
1.深圳大学ATR国防科技重点实验室,深圳 518060;
2.防空兵指挥学院导弹系,郑州 450052
Author(s):
HUANG Jian-jun1LI Peng-fei12YU Jian-ping1and RUAN Yi-wu12
1)ATR Key Laboratory of National Defense Technology,Shenzhen University,Shenzhen 518060,P.R.China 
2)Department of Missile Air Defense ForcesCommand Academy,Zhengzhou 450052,P.R.China
关键词:
信息处理技术数据关联聚类云模型云c-均值聚类最近邻算法多目标跟踪系统
Keywords:
information processing technologymultitarget trackingdata associationcluster cloud modelcloud c-means clusteringnearest neighbor algorithmmultitarget tracking system
分类号:
TN 953;TP 391
文献标志码:
A
摘要:
针对多目标跟踪中的数据关联问题,提出一种基于类云模型c-均值聚类的数据关联算法.该算法采用类云模型c-均值聚类算法对目标有效回波进行聚类,将聚类中心作为目标最终观测值,运用最近邻法对聚类中心与航迹进行关联,用Kalman滤波器进行状态估计.实验结果表明,本算法与联合概率数据互联算法相比,跟踪精度高,计算量小,更适应于工程应用.
Abstract:
To solve the data association of multi-target tracking,a novel algorithm of data association was proposed based on cloud c-means clustering (CCM).The CCM algorithm was used to cluster effective echoes,and the resulting cluster centers were considered the final measurements of the targets.The nearest neighboring algorithm was used to associate the cluster centers with the tracks,and the Kalman filter was employed for state estimation. Results from the experiment show that the proposed algorithm has a better tracking accuracy and a lower computational load than the joint probabilistic data association algorithm,and it is more convenient for engineering applications.

参考文献/References:


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备注/Memo

备注/Memo:
收稿日期:2009-05-09;修回日期:2009-10-20
基金项目:武器装备预研基金资助项目(9140C***C80);广东省自然科学基金资助项目(8451806001001836)
作者简介:黄建军(1971-),男(汉族),深圳大学教授、博士.E-mail:huangjin@szu.edu.cn
更新日期/Last Update: 2010-02-06