基于聚类的海战场目标分群方法

Method of clustering about sea battlefield force aggregation

目标分群是态势估计需要解决的一个重要问题。目标分群的结果有助于确定态势元素间的关系,从而为作战决策提供依据。提出了一种海战场环境下目标分群的方法。该方法在考虑目标各运动要素的基础上,对其进行最优权值分配,然后利用Chameleon算法对综合指标值进行聚类。

The sea target clustering is one of the important issues which situation assessment need to resolve. The output of sea target clustering is helpful to determine the relationship among situation elements, thus supporting command decision. This paper proposes a method of clustering about sea battlefield force aggregation. The method introduce the motorial attributes of the sea target, and the weights of the attributes are gained through optimizing the value of attribution of each sea target, and then uses Chameleon algorithm to cluster the weight of attribution.