模糊数据关联算法在多目标跟踪中的应用  

Application of Fuzzy Data Association Algorithm on Multitarget Tracking

作　　者：蔡玉宝 杜会盈 胡争争 马留洋 CAI Yu-bao;DU Hui-ying;HU Zheng-zheng;MA Liu-yang(The 27th Research Institute of China Electronics Technology Group Corporation,Zhengzhou 450047,China)

机构地区：[1]中国电子科技集团公司第二十七研究所,郑州450047

出　　处：《电光系统》2023年第1期23-26,共4页Electronic and Electro-optical Systems

摘　　要：数据关联是多传感器目标跟踪融合系统中至关重要的一部分。基于目标函数的模糊聚类算法通过将聚类分析问题转化成带约束条件的优化问题,求出量测与航迹的隶属度矩阵。通过隶属度矩阵,可以获取量测和目标航迹的关联关系,极大地减少了量测和航迹的关联次数。Data association is a main component of tracking in multisensory data fusion systems.The fuzzy clus-tering algorithm that based on the objective function transforms the clustering problem into an optimization with constrains.Through the solution of the optimization,obtaining the membership matrix of the measurements to the tracks,which reflect the membership between measurements and tracks.Also,the fuzzy clustering algorithm greatly reduces the number of correlations.

关 键 词：数据关联 多目标跟踪 模糊聚类 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]