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兵工学报 ›› 2019, Vol. 40 ›› Issue (8): 1648-1657.doi: 10.3969/j.issn.1000-1093.2019.08.013

• 论文 • 上一篇    下一篇

应对战场电磁干扰的自适应动态指标配置方法

吴天昊1,2, 王劲松1, 牛侃3, 孙淼1, 吴少强1   

  1. (1.战略支援部队信息工程大学, 河南 郑州 450001; 2.32553部队, 海南 海口 570100; 3.31007部队, 北京 100079)
  • 收稿日期:2018-10-26 修回日期:2018-10-26 上线日期:2019-10-15
  • 作者简介:吴天昊(1988—),男,工程师,硕士。E-mail:93738869@qq.com
  • 基金资助:
    军内科研基金项目(b2803);军事科学研究基金项目(2016605907);全军军事类研究生资助课题项目(13QJ003-22)

Adaptive Dynamic Indicators Configuration Method for Dealing with Electromagnetic Interference in Battlefield

WU Tianhao1,2, WANG Jingsong1, NIU Kan3, SUN Miao1, WU Shaoqiang1   

  1. (1.PLA Stragegic Support Force Information Engineering University, Zhengzhou 450001, Henan, China; 2.Unit 32553 of PLA, Haikou 570100, Hainan, China; 3.Unit 31007 of PLA,Beijing 100079, China)
  • Received:2018-10-26 Revised:2018-10-26 Online:2019-10-15

摘要: 在敌我双方对抗中,持续性电磁冲突和干扰可能导致用频装备效能下降甚至瘫痪,如何在电磁干扰环境下实现快速响应并精确配置元器件参数,已成为打赢现代化战争的关键能力之一。针对战场电磁干扰具有不确定、动态、多维等特点, 在指标属性权重和时序权重未知的决策环境下,提出一种基于灰色靶心决策理论的自适应动态指标配置方法。以靶心度为衡量标准,纵向给出多时序区间的自适应灰靶决策模型,横向给出采集区间时序的自适应调整方法,以实现对策指标自适应调整和确定。结合战场电磁干扰类型及原理,构建了自适应动态指标配置模型。仿真实验结果表明,与标准算法对比,该改进算法具有可行性与精确性,可为决策者科学合理配置装备指标参数提供参考。

关键词: 电磁干扰, 网络战场, 自适应, 灰靶决策, 动态指标, 指标确定, 频谱管控

Abstract: In the confrontation between friend and foe, the continuous electromagnetic conflict and interference may lead to the decrease in operational effectiveness or even functional loss of equipment. How to achieve rapid response and accurately configure the components and parts parameters in the electromagnetic interference environment has become one of the key capabilities to win the modern war. According to the uncertain, dynamic and multi-dimensional characteristics of battlefield electromagnetic interference, an adaptive dynamic indicator configuration method based on grey bullseye decision theory is proposed for the decision-making environment with unknown index weights and time sequence weights. Taking the approaching degree as a measurement standard, an adaptive grey target decision model with multiple time intervals is given vertically, and the adaptive adjustment method of the acquisition interval timing is given horizontally to realize the adaptive adjustment and determination of the countermeasure indicators. A adaptive dynamic indicators configuration model is constructed based on the type and principle of battlefield electromagnetic interference. The experiment and simulation were made, and the calculated results of the proposed algorithm was compared with those of the standard algorithm. The simulated results show that the proposed algorithm is feasible and accurate. Key

Key words: electromagneticinterference, cyberspacebattlefield, self-adaption, greytargetdecision, dynamicindicator, indicatordetermination, spectrumcontrol

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