基于改进鱼群算法的群体化协同侦察干扰方法  

Method of swarm cooperative reconnaissance and jamming based on the improved fish swam algorithm

作　　者：柳始良 高晓腾 刘冀川[1,2] 李欣隆 Liu Shiliang;Gao Xiaoteng;Liu Jichuan;Li Xinlong(th Research Institute of CETC,Shijiazhuang 050081,China;Hebei Province Key Laboratory of Electromagnetic Spectrum Cognition and Control,Shijiazhuang 050011,China)

机构地区：[1]中国电子科技集团公司第五十四研究所,石家庄050081 [2]河北省电磁频谱认知与管控重点实验室,石家庄050011

出　　处：《国外电子测量技术》2023年第8期87-95,共9页Foreign Electronic Measurement Technology

基　　金：国家自然科学基金(U20B2071)项目资助。

摘　　要：针对大规模、小型化、分布式电子作战系统的侦察干扰协同决策难题和干扰效果评估难题,通过分析传统的集群智能算法,提出了一种基于改进鱼群算法的群体化协同侦察干扰方法,将鱼群算法应用于电子战单元侦察干扰过程,并增加新的鱼群行为——迁徙行为,使电子战单元更好地做出全局最优选择,并基于电子战单元邻居单元的侦察功率和干扰有效度,对群体化系统干扰效果进行在线评估,通信范围100 m时,估计错误点数仅为2,实现了大规模群体化系统的高效作战。Aiming at the problems of reconnaissance and jamming collaborative decision-making and jamming effect evaluation of large-scale,miniaturized and distributed electronic warfare systems,by analyzing traditional swarm intelligence algorithms,a swarm collaborative reconnaissance and jamming method based on improved fish swarm algorithm is proposed,apply the fish swarm algorithm to the reconnaissance and jamming process of the electronic warfare unit,and add a new fish swarm behavior-migration behavior,so that the electronic warfare unit can better make the global optimal choice,and based on the reconnaissance power of the electronic warfare unit's neighbor units and the effectiveness of interference,the interference effect of the group system is online evaluation,when the communication range is 1o0 m,the estimated error point is only 2,which achieves the efficient operation of large-scale group system.

关 键 词：集群电磁作战 鱼群算法 群体协同 干扰效果评估 

分 类 号：TN975[电子电信—信号与信息处理]