基于核主成分分析方法的水面舰艇空中目标威胁评估?

对来袭空中目标的威胁进行评估与排序是舰艇对空火力分配的重要一环。根据来袭空中目标的特点，在确定目标指标后进行相应量化，针对来袭目标各指标间非线性的特点，提出使用核主成分分析法对目标信息进行特征提取，随后依据核主成分方差贡献率对威胁目标进行评估与排序。通过仿真算例验证，所得结果较为准确、客观，有效地克服传统方法中主观性较强的问题，并且在对指标数据提取的过程中降低了相关信息维数，降低了计算复杂度，为舰艇防空作战威胁评估提供了新途径。

Threat Target Evaluation of Air Targets to Warships in Air Defense Based on KPCA Method

The coming air targets threat evaluation and sorting of empty fire distribution of ships fire is important step.Ac-cording to the characteristics of the coming air targets, after confirmed target index quantification, because nonlinear between each index of coming target, puts forward a method of using kernel principal component analysis feature extraction of target information, then based on the kernel principal components variance contribution to target threat assessment and sequencing. By simulation example, the results are more accurate and objective, effectively and avoided subjectivity strong problems in the traditional method, at the same time, the index data extraction process reduces the information dimension, reduces the computational complexity, provides a new way for warship air defense combat threat assessment.