改进模糊聚类分析在战术通信网络识别中的应用  

Application of Improved Fuzzy Clustering Analysis in Tactical Communication Network Identification

作　　者：刘争 祝利 李霞[1] LIU Zheng;ZHU Li;LI Xia(College of Electronic Engineering,National University of Defense Technology,Hefei 230031)

机构地区：[1]国防科技大学电子对抗学院,合肥230031

出　　处：《舰船电子工程》2020年第10期52-57,共6页Ship Electronic Engineering

摘　　要：实际战场环境中存在大量通信信号,如何从中发现战术通信网络组织结构成为战场情报难点问题。论文将战术通信网类比成信息图表示,应用一种改进模糊聚类分析方法,构成对战术通信网络划分的模糊聚类效果,最后通过设定合适阈值识别网络最优群簇划分。实验仿真以某地域战术通信网络为应用背景,对比传统聚类分析方法说明论文方法在模拟实际侦察环境中的优越性和合理性。There are large numbers of communication signals in the battlefield environment.How to recognize the structure of the network is a difficult problem in battlefield intelligence reconnaissance.In this paper,the tactical communication network is compared firstly as an information graph,then a fuzzy cluster analysis method is proposed which can separate the network dimly and the optimal cluster classification is identified by setting the appropriate threshold.At last,the tactical communication network is tak⁃en as the application background to carry on the simulation,the traditional cluster analysis method is compared to prove the superi⁃ority and feasibility of this method in the simulation of the actual reconnaissance environment.

关 键 词：战术通信网 模糊聚类分析 网络划分 

分 类 号：TN914[电子电信—通信与信息系统] TJ0[电子电信—信息与通信工程]