基于集群分析的空中作战目标威胁评估技术研究

Research on air objective threat assessment technology based on cluster analysis

多机协同空战是现代空战的主要形式,集群目标的威胁评估是多机协同空战指挥决策的前提。针对多机协同空战中目标编群情况难以获取和威胁程度难以量化的问题,构建了基于Canopy-K-means算法的空中目标聚类分群模型,根据战场态势数据对空中作战目标进行编群分组;在此基础上,构建了基于层次分析法的集群目标威胁评估模型,综合考虑静态能力威胁指标和战场态势威胁指标,更加合理地量化计算集群目标的综合威胁程度,为空中作战任务规划提供依据。通过仿真算例验证了模型的有效性。

Multi-aircraft cooperative air combat is the main form of modern air combat,in which threat assessment for target clusters is the precondition of command decision-making.Due to the difficulties to quantify threats and get group information of air targets in multi-aircraft cooperative air combat,a model based on Canopy-K-means is proposed to cluster the targets according to the battlefields situation data and a model based on analytic hierarchy process(AHP)method is proposed to evaluate threats of target clusters.In this model,the threat indicators caused by formation static abilities and battlefield situation are both considered,providing reasonable and quantized threat assessment results to mission planning in air combat.In the end,the validity of the models is verified by the calculation results of the simulation example.