基于改进天际线选择方法的大规模目标威胁评估  

A Large-Scale Target Threat Assessment Based on Improved Skyline Selection Methods

作　　者：刘祥雨 王刚[1] 郭相科[1] 王思远 何晟 LIU Xiangyu;WANG Gang;GUO Xiangke;WANG Siyuan;HE Sheng(Air Defense and Antimissile School,Air Force Engineering University,Xi’an 710051,China;Unit 95718,Wenshan 663000,Yunnan,China)

机构地区：[1]空军工程大学防空反导学院,西安710051 [2]95718部队,云南文山663000

出　　处：《空军工程大学学报》2025年第2期34-45,共12页Journal of Air Force Engineering University

基　　金：国家自然科学基金项目(62106283)。

摘　　要：针对大规模复杂作战场景,首先进行聚类方法的设计,提出基于模糊理论的参数自适应密度网格聚类方法,对大规模目标进行处理,便于后续快速进行威胁评估。其次提出多级天际线选择方法,该方法避免了传统威胁评估方法的权值设定等复杂过程,消除权值设定过程中个人喜好等众多干扰因素。最后建立雷达图的多指标表示方法,为指挥员进行针对性决策提供依据。仿真对比实验结果表明,根据的威胁评估方法进行后续的目标分配和火力拦截,最终达到的作战效能更好。For large-scale complex combat scenarios,firstly,threat assessment method is studied to improve the selection of skyline method,and in designing a clustering method,a parameter adaptive density grid clustering method is proposed by the fuzzy theory to process large-scale targets,and facilitate the subsequent rapid threat assessment.Secondly,a multilevel skyline selection method is proposed,avoiding the complex process of traditional threat assessment methods such as the weight setting process,and avoiding the complex process of traditional threat assessment methods such as weight setting,and eliminating many interfering factors such as personal preference in the process of weight setting.Finally,a multi-indicator representation method of radar map is established,providing a basis for targeted decision-making by the commanders.The results of simulation and comparison experiments show that the subsequent target allocation and fire interception based on the threat assessment method ultimately achieve better combat effectiveness.

关 键 词：威胁评估 聚类 天际线方法 雷达图 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]