密集目标有偏航迹整体匹配关联方法

针对密集目标和传感器探测存在较大系统偏差的复杂条件下的分布式融合中航迹关联问题,设计了一种整体匹配航迹关联方法,首先将所有航迹划分成若干个关联聚,对各传感器都有多个目标航迹的关联聚采用多目标点图整体匹配,对某传感器只有单目标航迹的关联聚采用航迹段整体匹配,从而获得关联聚内所有航迹的关联关系。在仿真分析中,随机产生态势,分别计算新算法在不同情形下的漏关联、正确关联率、错误关联率。仿真验证结果表明该算法在不同目标密集程度、系统误差情形下都有较好的适应性。

A Track Correlation Method by Matching in Whole of Closely Spaced Targets and Bias Measure Environment

A track correlation method by matching in whole is proposed to handle the distributed track correlation problem in the condition of closedly spaced targets and sensor measure having obvious systematic error. All tracks are divided to several associated cluster firstly, then track matching pair relations of all track in whole of each associated cluster are determined,by multiple targets track point map matching if each sensor detects multiple target track of the cluster, or by track segment matching if some sensor detect only one track of the cluster. Simulation experiments show that this algorithm can adapt to much grades of target denseness and systematic error magnitude.