雷达网探测多批目标的分类指挥决策模型

Grouping Command Decision Model of Multiple-batch Targets Via Radar Net Detecting

当目标数量超过单部雷达的处理容量和指挥员的指挥容量,无法保障正常的空情处理时,如何合理分配雷达网所属雷达的探测任务,保证作战任务的完成,是值得深入研究的问题。为解决这个问题,提出了分类指挥的方法;分析和量化了目标的威胁指数,以此通过模糊聚类方法对目标进行分类;根据各雷达的性能、功能和特点,对雷达网所属雷达进行分类;分析和量化了雷达类和目标类的匹配指数,以此建立雷达网探测多批目标的分类指挥决策模型。

When amount of targets exceeds processing capacity of single radar and command capacity of commanders , normal aerial intelligence processing can not be obtained. So it is worthwhile tO study on how to distribute detecting missions of radars in radar net to fulfill operational tasks. For this purpose, this paper proposes a method of grouping command and analyzes threat exponent. Targets are classified through fuzzy clustering method. Based on performance, functions and features of the radars, the radars are classified. Matching exponents are analyzed and quantified, and a grouping command decision model of multi-batch via radar net detecting is given.