多目标多传感器模糊双门限航迹相关算法

Fuzzy Track Correlation Algorithms for Multitarget and Multisensor Tracking

本文提出两种适合于分布式多传感器数据融合的模糊双门限航迹相关算法．文中研究了模糊因素集的构成、隶属度函数的选择、权向量的动态分配、航迹相关质量设计、多义性处理方法、模糊双门限航迹相关准则及模糊经典分配问题，并通过仿真与两个经典方法进行了比较．仿真结果表明，在密集目标环境下和／或交叉、分岔及机动航迹较多的场合，模糊双门限航迹相关算法的性能与传统方法相比获得了明显的改善，其正确相关率与传统方法相比提高了约35％．

This paper presents two fuzzy track correlation algorithms with double threshold applying to dis tributed multisensor data fusion.In the paper,composition of fuzzy element sets,selection of membership function,dynamic assignment of weight vectors,track mass design,multivalency processing methods,fuzzy double threshold track correlation criterion and fuzzy classical assignment problem are discussed.Moreover,the algorithms are com pared with two classical methods through simulation.The simulation results show that the performance of the fuzzy double threshold track correlation algorithms is much better than tha of the classical methods in dense multitarget environments,more cross,split and maneuvering track situations.Under the above situation their correct correlation rates are improved about 35 percent over the classical methods.