计算机科学 ›› 2024, Vol. 51 ›› Issue (11A): 231000038-7.doi: 10.11896/jsjkx.231000038

• 交叉&应用 • 上一篇    下一篇

基于组合赋权TOPSIS辐射源动态威胁评估

张银玲1, 尚韬1, 李兆坤1,2   

  1. 1 西安电子科技大学通信工程学院 西安 710071
    2 上海交通大学电子信息与电气工程学院 上海 200240
  • 出版日期:2024-11-16 发布日期:2024-11-13
  • 通讯作者: 张银玲(yinlingzhang@stu.xidian.edu.cn)
  • 基金资助:
    国家自然科学基金(62001286);陕西省自然科学基金(2020ZDLGY15-05)

Radar Emitter Target Dynamic Threat Assessment Based on Combining Weighting-TOPSIS Method

ZHANG Yinling1, SHANG Tao1, LI Zhaokun 1,2   

  1. 1 School of Telecommunication Engineering,Xidian University,Xi'an 710071,China
    2 School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
  • Online:2024-11-16 Published:2024-11-13
  • About author:ZHANG Yinling,born in 1993,Ph.D.Her main research interests include data fusion and signal processing.
  • Supported by:
    National Natural Science Foundation of China(62001286) and Natural Science Foundation of Shaanxi Province(2020ZDLGY15-05).

摘要: 针对辐射源目标威胁评估中属性指标权重设计缺乏全面性、评估缺乏动态性等不足,提出基于层次分析法(Analytic Hierarchy Process,AHP)与熵权法组合赋权的逼近理想解(Technique for Order Preference by Similarity to Ideal Solution,TOPSIS)动态辐射源威胁评估方法。首先提出包含平台属性和雷达属性的辐射源威胁评估指标体系;其次构建量化定性和定量属性的威胁隶属度函数;然后通过AHP和熵权法给属性进行主、客观组合赋权;接着利用泊松分布逆形式引入时间权重,融合多时刻信息;最后基于TOPSIS算法求解目标的威胁排序。仿真分析表明,相比主观赋权或客观赋权法评估,所提组合赋权法具有更强的全面性和有效性;相比仅考虑目标当前时刻属性信息评估方法,所提引入时间权重的动态评估方法具有更好的合理性和客观性。所提方法能较好地反映多目标的威胁排序,为作战指挥决策提供有力的依据。

关键词: 辐射源威胁评估, 层次分析法, 熵权法, 组合赋权, 泊松分布, 动态威胁评估, 逼近理想解

Abstract: Nowadays,index weights determining methods of radar emitter target threat assessment are incomplete and non-dynamic.A dynamic and combining weighting assessment method based on analytic hierarchy process(AHP),entropy weight me-thod and technique for order preference by similarity to ideal solution(TOPSIS) model is proposed.First,an index system which includes platform attributes and radar attributes is proposed.Second,the threat subordinating degree functions of qualitive and quantitative attributes are established.Third,attributes are weighted by subjective and objective weights based on AHP and EWM.Fourth,the Poisson reverse distribution is induced for fusing decision information in multiple times.Finally,the threat assessment is obtained based on TOPSIS model.The simulation results show that,the proposed combining weighting dynamic assessment method is more comprehensive,effective,reasonable and actual compared with purely subjective weighting or objective weighting and single-moment method.It can reflect the multi-target threat ranking well and provide a strong basis for the combat command decision.

Key words: Radar emitter threat assessment, AHP, Entropy weight method, Combining weighting, Poisson distribution, Dynamic threat assessment, TOPSIS

中图分类号: 

  • TP391
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