基于遗传算法的自主干扰决策方法  

Autonomous interference decision-making method based on genetic algorithm

作　　者：朱卓 刘琦妍 张策 ZHU Zhuo;LIU Qiyan;ZHANG Ce(Airborne Products Division,53rd Research Institute of China Electronics Technology Corporation,Tianjin 300308,China;Unmanned System Research Institute,Northwestern Polytechnical University,Xi′an 710072,China;School of Astronautics,Northwestern Polytechnical University,Xi′an 710072,China)

机构地区：[1]中国电子科技集团公司第五十三研究所机载产品事业部,天津300308 [2]西北工业大学无人系统技术研究院,西安710072 [3]西北工业大学航天学院,西安710072

出　　处：《中国民航大学学报》2023年第4期58-64,共7页Journal of Civil Aviation University of China

摘　　要：针对大型高价值无人机对抗红外地空导弹成功率低的问题,本文结合红外干扰弹的使用提出一种面向典型对抗态势的红外干扰弹投放自主干扰决策模型。首先,基于干扰弹投放策略集和典型对抗态势建立红外对抗样本库,为干扰弹投放策略的选择提供数据支撑;其次,基于遗传算法及决策匹配得到典型对抗态势的干扰弹投放策略;最后,通过三线性插值思想和红外对抗策略迁移模型得到任一态势下近似最优的自主对抗策略模型。不同红外场景下的对抗仿真实验结果表明,本文提出的自主决策模型有效可行。Aiming at the problem of low success rate of large high-value unmanned aerial vehicle(UAV)against infrared surface-to-air missile,an autonomous interference decision-making model of infrared decoy delivery for typical co-nfrontation situation is proposed combining with the use of infrared decoy.Firstly,to provide data support for the selection of delivery strategy of decoy,the sample library of infrared countermeasures is established based on the delivery strategy set of decoy and typical countermeasure situation.Secondly,the delivery strategy of decoy for typical confrontation situation is obtained based on genetic algorithm and decision matching.Finally,the near-optimal autonomous countermeasure strategy model under any situation is obtained through tri-linear interpolation idea and infrared countermeasure strategy migration model.The results of confrontation simulation experiments in different infrared scenes show that the autonomous decision-making model proposed in this paper is effective and feasible.

关 键 词：红外对抗 自主决策 地空导弹 干扰策略 对抗态势 遗传算法 

分 类 号：V279[航空宇航科学与技术—飞行器设计] TN97[电子电信—信号与信息处理]