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面向电磁战斗序列的网络化通信目标行为识别方法

EOB-Oriented Networked Communications Target Behavior Identification Method
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摘要 电磁战斗序列是刻画电磁频谱作战力量编成的综合性参量,然而现有相关研究主要局限于信号或个体识别层面,难以有效支撑电磁战斗序列构建的任务。基于此,提出了基于网络化通信目标行为识别构建电磁战斗序列的构想,从个体行为、群体行为和任务行为三个层级阐述了通信目标行为的概念内涵。重点针对群体通联行为识别问题,构建了单节点感知场景下的系统模型,并提出了一种基于多维霍克斯过程的通联拓扑推理方法,实现了仅从外部观测的电磁信号反演网络化通信目标的群体通联关系。设计内场实验方案,通过实测和仿真验证了所提方法的有效性,同时仿真结果表明目标识别相比于信号检测对所提方法的性能影响更大。 The electromagnetic order of battle(EOB)is a comprehensive parameter set used to characterize the composition of electromagnetic spectrum combat forces.The existing researches are mainly limited to signal or individual identification,making it difficult to effectively support the construction of EOB.To address this problem,a comprehensive conceptual framework is presented for constructing an EOB based on the communications target behavior,elucidating the connotation of communications target behavior from three levels:individual behavior,group behavior and task behavior.Specifically,for the recognition problem of group communications behavior,a system model is constructed under a single node perception scenario,and a communications topology inference method based on multidimensional Hawkes process is proposed.It enables the inference of group communications relationships among networked communications targets just by utilizing externally observed electromagnetic signals.Furthermore,the scheme of infield experiment is designed to validate the effectiveness of the proposed method by experiments and simulations,and the results of simulation analysis demonstrate that target identification has a greater impact on the performance of the proposed method compared with signal detection.
作者 宋叶辉 田乔宇 丁国如 徐以涛 SONG Yehui;TIAN Qiaoyu;DING Guoru;XU Yitao(College of Communications Engineering,Army Engineering University of PLA,Nanjing 210007,China)
出处 《陆军工程大学学报》 2023年第5期18-25,共8页 Journal of Army Engineering University of PLA
基金 国家自然科学基金(61901520,U20B2038,62171462)。
关键词 电磁战斗序列 通信目标行为 通联拓扑 霍克斯过程 electromagnetic order of battle(EOB) communications target behavior communications topology Hawkes process
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