基于信息共享的多智能体自主电子干扰系统  

Multi-agent autonomous electronic jamming system based on information sharing

作　　者：张盼[1,2] 丁华 张颖而 李冰凝 皇甫江涛 金仲和[1,2] ZHANG Pan;DING Hua;ZHANG Ying-er;LI Bing-ning;HUANG-FU Jiang-tao;JIN Zhong-he(Micro-Satellite Research Center,Zhejiang University,Hangzhou 310027,China;Zhejiang Key Laboratory of Micro-nano Satellite Research,Hangzhou 310027,China;Aerospace Equipment Department,PLA Strategic Support Force,Beijing 100094,China;College of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China;Xi'an Satellite Control Center,Hangzhou 310000,China)

机构地区：[1]浙江大学微小卫星研究中心,浙江杭州310027 [2]浙江省微纳卫星研究重点实验室,浙江杭州310027 [3]战略支援部队航天系统装备部,北京100094 [4]浙江大学信息与电子工程学院,浙江杭州310027 [5]中国西安卫星测控中心,浙江杭州310000

出　　处：《浙江大学学报（工学版）》2022年第1期75-83,共9页Journal of Zhejiang University：Engineering Science

基　　金：国家杰出青年科学基金资助项目(61525403);省级重点研发计划资助项目(209C05004);之江国际青年人才基金资助项目。

摘　　要：为了实现电子干扰机在复杂电磁环境中对辐射源的有效干扰,利用多智能体电子干扰机与信息共享机制,突破原有单传感器的有限信息感知能力,实现实时动态态势信息共享,增强电子干扰机的智能决策认知能力.基于信息共享的多智能体自主电子干扰系统实现了μs级的干扰参数快速收敛,减小了单传感器的信息误差概率.通过仿真实验表明,基于该方法的干扰参数更新策略随着态势环境的动态变化而实时自主调整,实现了更加自主与智能的认知电子干扰系统.Multi-agent electronic jammers and information sharing mechanism was used to break through the limited information perception ability of the original single sensor in order to realize the effective jamming of radiation source in complex electromagnetic environment. Then real-time dynamic situation information sharing was realized,and the intelligent decision cognition ability of electronic jammer was enhanced. The rapid convergence of the microsecond-level about the jamming parameters was achieved by the multi-agent independent electronic jamming system based on information sharing, and the information error probability in a single-jammer conditions was reduced. The experimental results show that the jamming parameter update strategy based on the method is adjusted in real time with the dynamic change of situational environment. A more autonomous and intelligent cognitive electronic jamming system is realized.

关 键 词：信息共享 多智能体电子干扰机 Q-LEARNING 态势感知 

分 类 号：TN959[电子电信—信号与信息处理]