摘要
利用模糊相似性和模糊C均值聚类算法相结合,提出一种求解多传感器多目标跟踪数据关联问题的方法。该方法的目的是实现多传感器观测数据的模糊聚类,使源于不同目标的观测数据能正确划分到该目标中去。仿真结果表明,该算法可以实现数据与目标的正确关联,克服传统硬判断的一些缺点。
An algorithm on data association for multisensor multitarget tracking (MSMTT) based on fuzzy comparability and fuzzy C-means (FCM)is proposed. Its aim is to accomplish fuzzy cluster among data of multisensor in order to make out the affiliation between different data and different targets.The simulated results show that different observational data from different sensors can be associated correctly and the disadvantages of the conventional hardware judgment can be overcome.
出处
《华东船舶工业学院学报》
2003年第6期58-62,共5页
Journal of East China Shipbuilding Institute(Natural Science Edition)
基金
江苏省普通高校自然科学研究计划资助项目(02KJB510002)
国防"十五"课题资助(01F005)
