基于主成分分析的空袭目标主攻方向判断

Judgment of Main Attack Direction of Air-raid Target Based on Principal Component Analysis

敌空袭目标主攻方向判断是作战指挥的重要依据。着眼于要地防空作战决策需求,分析了影响空袭目标主攻方向的9个重要指标,考虑到火力单元最小部署间距,运用灰色关联聚类方法,对空袭目标子方向进行合理划分;利用主成分分析法对影响指标降维处理,减少了指标间相关性和计算量,并建立了综合评价模型计算得出方向排序。算例结果表明,该方法正确可行。

The judgment about the main direction of the enemy air attack is very important for operational command. This paper focuses on the need of decision-making for air defense of critical area and analyzes the nine major indicators that affect the main direction of the air-raid target. With consideration of the minimum deployment spacing between the firepower units,the gray relational clustering method is used to rationally divide the sub-directions. The Principal Component Analysis（ PCA） method is used for dimensionality reduction of the impact indexes,which reduces the correlation among the indexes and the calculation cost. A comprehensive evaluation model is built to calculate the sorting of the directions. The results show that the method is correct and feasible.