电光与控制, 2018, 25 (7): 29, 网络出版: 2021-01-20
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
要地防空 灰色关联聚类 部署间距 主成分分析 主攻方向判断 air defense of critical area gray correlation clustering deployment spacing principal component analysis main direction judgment
摘要
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。
Abstract
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.
赵久奋, 唐勤洪, 王伟, 王海峰, 史绍琨. 基于主成分分析的空袭目标主攻方向判断[J]. 电光与控制, 2018, 25(7): 29. ZHAO Jiufen, TANG Qinhong, WANG Wei, WANG Haifeng, SHI Shaokun. Judgment of Main Attack Direction of Air-raid Target Based on Principal Component Analysis[J]. Electronics Optics & Control, 2018, 25(7): 29.