摘要
随着认知无线电、软件定义网络、认知网络,以及雷达通信系统抗干扰、低截获等技术的发展和装备部署应用,战场电磁频谱环境的复杂程度呈现几何倍数的增加.如何提高电子战"感知环境(observe)–适应环境(orient)–做出决策(decide)–采取行动(act)"(OODA)环路速度,实现电磁敏捷,是电子战应对未来复杂战场环境挑战需要解决的关键科学技术问题.人工智能理论与电子战相结合,形成具有认知能力的电子战系统,将极大提高电子战系统对威胁信号的感知、干扰决策和干扰效果评估能力,缩短对未知威胁的干扰反应时间,加快电子战OODA环路速度,提升电子战系统的作战能力.
Development and applications of technologies of cognitive radio, software-defined network, cognitive network as well as anti-jamming and low intercept probability in radar and other communication systems have led to an exponential increase in the complexity of the electromagnetic environment. When confronted with the challenges in the future complicated battlefield environment, how to speed up the loop of "observe-orientdecide-act(OODA)" and realize electromagnetic agility is the key problem for electronic warfare system. To make the system more cognitive, we combine the theory of artificial intelligence with electronic warfare, which can significantly enhance the ability to sense a threat signal, make a jamming decision, and evaluate the jamming effect. Moreover, this will shorten the reaction time to unknown threats, speed up the OODA loop, and strengthen the operational capability of the system.
作者
王沙飞
鲍雁飞
李岩
Shafei WANG;Yanfei BAO;Yan LI(Academy of Military Sciences PLA China,Beijing 100191,China;School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China)
出处
《中国科学：信息科学》
CSCD
北大核心
2018年第12期1603-1613,共11页
Scientia Sinica(Informationis)
关键词
人工智能
机器学习
认知
电子战
artificial intelligence
machine learning
cognition
electronic warfare
