基于灰关联理论的预警探测系统效能评估研究

Early Warning Radar System Effectiveness Evaluation Based on Grey Relational Analysis

针对反导作战场景下预警探测系统的效能评估问题,提出一种基于灰关联分析理论的预警探测系统效能评估方法。根据反导预警作战的需求提取效能评估指标,利用灰关联分析方法对各指标之间以及各指标与系统效能的关联程度进行分析,引入指标重要度和指标影响度的定义,提出了一种基于灰关联分析理论的预警探测系统指标约简以及权重确定算法。与其他效能评估方法相比,该算法考虑了指标间的信息重叠问题,可以对离散型指标与连续型指标共存的指标体系进行处理。通过仿真实验证明了该算法的有效性。

In view of the detection system effectiveness evaluation under missile defense scene, an effectiveness evaluation method based on grey relational analysis theory is proposed. Considering ballistic trajectory characteristic and target type, the effectiveness evaluation indexes are proposed, and then the connection degree between the indexes and system effectiveness are analyzed by using grey relational analysis method. Then the definition of importance degree of index and influence degree of index are introduced, and a kind of index reduction and weight definition algorithm of detection system based on grey relational analysis method is proposed. Compared with other performance evaluation methods, the proposed algorithm takes into account the overlap between indexes, and can deal with the index system of coexistence of discrete and continuous indicators. The effectiveness of the proposed algorithm is proved by simulation experiments. The algorithm can be used to improve the independence of the indicators and the scientific nature of the index weight.