基于Q学习的自适应电子战博弈对抗系统总体设计  

Overall Design of a Self-adaptive ECM Adversarial Game System Based on Q-learning

作　　者：韩如明 马献德[1] 郭波[1] 李光启 HAN Ruming;MA Xiande;GUO Bo;LI Guangqi(Nanjing Research Institute of Electronic Technology,Nanjing 210039)

机构地区：[1]南京电子技术研究所,南京210039

出　　处：《舰船电子工程》2024年第9期83-86,共4页Ship Electronic Engineering

摘　　要：针对传统电子战系统面临的新挑战,基于人工智能技术构建实现动态干扰决策和自适应干扰生成的博弈对抗系统是电子战技术的重要发展方向之一。论文基于Q学习技术,设计了具有智能学习能力的博弈对抗系统,完成了系统总体设计,开发了仿真分析软件,针对博弈对抗场景开展了仿真分析,分析结果表明所设计的博弈对抗系统能够在复杂场景下完成雷达信号侦察、动态干扰决策和自适应干扰生成。In order to cope with the new challenges of traditional ECM systems,it is an important approach to build adversarial intelligent game systems based on artificial intelligence technologies,which can achieve dynamic jamming decision and self-adaptive jamming generation.Based on Q-learning technologies,an adversarial intelligent game system is designed in this paper.A simulation and analysis software is developed,based on which the simulations are executed by preset scenarios.The simulation results show that the proposed adversarial intelligent game system can complete radar signal reconnaissance,dynamic jamming decision and self-adaptive jamming generation.

关 键 词：Q学习 智能博弈对抗 自适应干扰生成 

分 类 号：TN95[电子电信—信号与信息处理]