一种新的机动目标功能合群算法

Function Group Formation Algorithm for Maneuvering Target

机动目标合群是一类针对动态目标进行聚类的特殊聚类问题,是战场情报综合处理的重要环节之一。文章提出一种基于初级融合获得的机动目标状态和属性,通过属性相似度来计算进攻关系隶属度以生成功能群的方法。该方法根据战场态势分析目的,将测量空间的目标属性关联映射到相似度空间,对目前跟踪目标根据相应的行为要素实现功能合群。该算法时间复杂度小于O(n2)。仿真结果表明,该算法可为态势估计生成期望的功能群,具有一定的理论和实用价值。

A new function group formation algorithm based on attribute value for space group target is presented, which has the ability to realize function group formation. The uncertainty of measurement space is mapped into the fuzzy attribute value space, and the uncertainty of measurement space is resolved via the fuzzy match mechanism. With lower calculation complexity less than O（n^2）, it is more efficient to generate group formation for maneuvering target indicated by simulation results.