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作 者:王行行 刘唐兴[1] 刘子沂 王号 Wang Hanghang;Liu Tangxing;Liu Ziyi;Wang Hao(The 28th Research Institute of China Electronic Technology Group Corporation,Nanjing 210007,China)
机构地区:[1]中国电子科技集团公司第28研究所,南京210007
出 处:《信息化研究》2024年第1期1-5,12,共6页INFORMATIZATION RESEARCH
摘 要:随着电子装备技术的飞速发展,战场电磁环境的复杂性不断增加,这对更有效地指挥电子装备进行作战提出了巨大挑战。文章针对复杂电磁环境下现代电子战威胁,深入研究认知电子战的概念和技术,分析人工智能技术对认知电子战的重要性,讨论了各国电子战研究现状,重点研究认知电子战中机器学习、电子干扰、态势感知和动态频谱管理等关键技术,提出了一种智能化认知电子战框架,在分析电子战案例的基础上,验证了该框架对电子战系统发展的可行性,有效地提高作战效能和更好地应对多变战场环境,为未来认知电子战的发展提供了深刻的理论基础。With the rapid development of electronic equipment technology,the complexity of the battlefield electromagnetic environment is continually increasing,posing a significant challenge for more effectively commanding electronic equipment in combat.This article addresses the modern electronic warfare threats in complex electromagnetic environments,extensively examining the concept and technology of cognitive electronic warfare.It analyzes the importance of artificial intelligence in cognitive electronic warfare,discusses the current status of electronic warfare research in various countries,and focuses on key technologies in cognitive electronic warfare,including machine learning,electronic jamming,situational awareness,and dynamic spectrum.The paper proposes an intelligent cognitive electronic warfare framework and,based on the analysis of electronic warfare cases,validates the feasibility of this framework for the development of electronic warfare systems.It effectively enhances operational efficiency and better addresses the dynamic battlefield environment,providing a profound theoretical foundation for the future development of cognitive electronic warfare.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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