首页|基于PCA-LM的空战目标威胁评估

基于PCA-LM的空战目标威胁评估

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空战过程中态势瞬息万变,获取敌目标的威胁是我方取得攻击占位优势和采取战术规避的前提条件.提出主成分分析法和阻尼最小二乘法相结合的回归模型对目标的威胁进行评估.利用主成分分析法,分析指标之间的相关性,转化成相互独立的分量,确定主成分分量,重构目标威胁评估体系;对目标威胁与主成分分量进行回归分析,利用阻尼最小二乘法对回归模型参数进行估计,得到主成分分量与目标威胁之间的统计关系;利用目标威胁估计值与实际值之间的误差大小,验证了回归模型的有效性.消除了指标之间的相关性对评估结果的影响,提高了评估结果的客观性,解决了传统评估方法忽略指标之间耦合性的问题.
Air Combat Target Threat Assessment Based on PCA-LM
The situation changes rapidly in the course of the air battle.To obtain the threat of the enemy target is the prerequisite for us to gain the advantage of attacking and taking tactical evasive action.A regression model combining principal component analysis and damped least square method to evaluate the threat of the target.Firstly,principal component analysis method is used to analyze the correlation among indicators and to convert them into independent components to determine the principal component and to reconstruct the target threat assessment system.Secondly,the regression analysis of the target threat and the principal component is carried out,and the damped least square method is used to estimate the parameters of the regression model,and the statistical relationship between the principal component and the target threat is obtained.Finally,the error between the estimated target threat value and the actual target threat value is used to verify the effectiveness of the regression model.The influence of correlation between indicators on the evaluation results is eliminated,the objectivity of the evaluation results is greatly improved,and the problem that traditional evaluation methods ignore the coupling between indicators is solved.

principal componentdamped least squares methodanalysis of regressionindex corr-elationreconstruction

李战武、张帅、奚之飞、李游、李钢

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空军工程大学航空工程学院,西安 710038

解放军93987部队,西宁 810007

主成分分析 阻尼最小二乘法 回归分析 指标相关性 重构

研究生创新实践基金

CXJ2022001

2024

火力与指挥控制
火力与指挥控制研究会,火力与指挥控制专业情报网

火力与指挥控制

CSTPCD北大核心
影响因子:0.312
ISSN:1002-0640
年,卷(期):2024.49(2)
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