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。
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.
出处
《航天电子对抗》
2012年第3期55-58,共4页
Aerospace Electronic Warfare
关键词
模糊聚类
数据关联
目标跟踪
模式识别
fuzzy clustering
data association
target tracking
pattern recognition
