分布式通信对抗智能决策仿真系统  

Simulation System of Distributed Communication Countermeasure by Intelligent Decision Making

作　　者：宋秉玺 肖毅[2] 杨鸿杰 杜宇峰[1] SONG Bingxi;XIAO Yi;YANG Hongjie;DU Yufeng(The 54th Research Institute of CETC,Shijiazhuang Hebei 050081,China;Unit 31618,PLA,Fuzhou 350003,China)

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081 [2]中国人民解放军31618部队,福建福州350003

出　　处：《无线电通信技术》2019年第5期555-560,共6页Radio Communications Technology

基　　金：国家部委基金资助项目

摘　　要：主要研究了人工智能在通信对抗中的应用方法,通过搭建分布式通信对抗系统,设计红蓝双方通信对抗作战模型,仿真了干扰设备和通信设备的群体作战特性,并利用基于平均场的强化学习算法为终端设备做出决策,使分布式设备实现了自主化、智能化。在仿真对抗中,智能决策系统能够比随机策略系统、贪心策略系统更有优势。The application methods of artificial intelligence in communication countermeasures are mainly studied in this paper.By building the distributed communication countermeasure system and designing the red-blue communication countermeasure combat model,the group combat characteristics of the interference equipment and communication equipment are simulated.Using the reinforcement learning algorithm based on mean field to make decisions for the terminal devices,realizing the autonomation and intelligence of the distributed equipment.In the simulation,the intelligent decision systems have more advantages than the random strategy systems and the greedy strategy systems.

关 键 词：分布式决策 通信对抗 战场仿真 

分 类 号：TN975[电子电信—信号与信息处理]