摘要
本文提出两种适合于分布式多传感器数据融合的双门限航迹相关算法.文中对这两种双门限航迹相关准则进行了详细的描述,研究了航迹相关质量设计、多义性处理和漏相关概率的估计方法,并通过仿真将它们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、分岔和机动航迹较多的场合,双门限航迹相关算法的性能明显优于传统方法,其正确相关率比传统方法提高了大约35％.
This paper presents two binary track correlation algorithms applying to distributed multisensor data fusion. In the paper, these two binary track correlation criteria are described in detail,and track correlation mass design, multivalency processing methods and miss correlation probability estimation methods are discussed as well. Moreover, they are compared with two classical methods through simulation. The simulation results show that the performance of the two binary track correlation algorithms is much better than that of the classical methods in dense mul-titarget environments, more cross, split and maneuvering track situations. Under above situations their correct correlation rate is improved about 35 per cent over that of the classical methods.
基金
国防科研基金
关键词
信息融合
及迹相关
多传感器
信号检测
Data fusion, Track correlation, Multitarget, Multisensor, Radar network
