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作 者:梁复台 周焰[1] 张晨浩 宋子豪 赵小瑞 LIANG Futai;ZHOU Yan;ZHANG Chenhao;SONG Zihao;ZHAO Xiaorui(Air Force Early-Warning Academy,Wuhan 430000,China;PLA 31121 Troops,Nanchang 330000,China)
机构地区:[1]空军预警学院,湖北武汉430000 [2]中国人民解放军31121部队,江西南昌330000
出 处:《现代防御技术》2024年第1期147-154,共8页Modern Defence Technology
摘 要:威胁常随着双方对抗的开展存在着动态演化的特点,传统威胁评估方法更多基于静态威胁进行研究,缺乏动态威胁的预测估计。针对此问题,提出一种对抗条件下的空中目标威胁评估方法。设定红方为进攻方,蓝方为防御方,以红方目标为智能体建立强化学习模型,设计其状态空间、动作空间、转换函数及奖励函数。建立威胁评估模型,确立威胁元素指标,设计威胁评估模型。对模型进行训练,训练完成的模型可根据对抗情况预测红方空中目标威胁。经试验分析,该方法在对抗条件下对红方空中目标威胁评估更具合理性。Threats often have the characteristics of dynamic evolution with the development of bilateral confrontation.Traditional threat assessment methods are more based on static threats and lack of prediction of dynamic threats.To solve this problem,this paper proposes a threat assessment method for aerial targets under confrontational conditions.Setting the red side as the attacking side and the blueside as the defending side.The reinforcement learning model is established with the enemy target as the agent,and its state space,action space,transition function and reward function are designed.The threat assessment model is established,the threat element index is established,and the threat assessment method is designed.The model is trained,and the trained model can predict the enemy aerial target threat according to the confrontation situation.Through test and analysis,the method is more reasonable for threat assessment of enemy aerial targets under confrontation conditions.
分 类 号:TJ85[兵器科学与技术—武器系统与运用工程]
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