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分层视角下无线通信网络高空电磁脉冲效应 被引量:3

Analysis of high-altitude electromagnetic pulse effect on wireless communication network from hierarchical perspective
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摘要 从分层视角研究无线通信网络高空电磁脉冲效应,提出了一种具有层级属性的网络级效应评估方法。设计研制了一种无线通信网络效应试验仿真平台,网络使用典型全连通拓扑结构,网络节点使用超外差式收发机,网络运行在超短波频段。开展了小型网络脉冲辐照效应试验和效应机理分析,网络仿真研究了网络规模不同条件下节点失效概率对网络性能的影响。得到以下结论:(1)设备级效应对低层级效应具备一定冗余容错能力,这取决于效应评价指标的选择和损伤组件的功能属性;(2)网络级效应对设备级效应具有潜在放大效果,个别节点失效可能造成网络性能严重下降甚至瘫痪。 To study the representation of high altitude electromagnetic pulse effect in communication network from a hierarchical perspective,a network-level effect assessment method with hierarchical feature was proposed.A network effect test and simulation platform for wireless network was designed and developed.The platform employs a typically fully-connected network,in which the communication node is designed based on the framework of superheterodyne transceivers with operating on very high frequency ranges.The effect of pulse irradiation test on this network platform was tested and its effect mechanism was analyzed.The influence of node failure probability on network performance under different network scales was studied by using OPNET software.The following conclusions are drawn:(1)The equipment-level effect has a certain redundant fault-tolerance for the lower-level damage effect,which depends on the selection of effect assessment indicators and the function properties of the damaged components;(2)The network-level effect has a potential effect on the equipment-level effect,and the failure of individual nodes may cause serious degradation or even paralysis of the whole network.
作者 杜传报 毛从光 崔志同 刘政 石跃武 王伟 聂鑫 Du Chuanbao;Mao Congguang;Cui Zhitong;Liu Zheng;Shi Yuewu;Wang Wei;Nie Xin(State Key Laboratory of Intense Pulsed Radiation Simulation and Effect,Northwest Institute of Nuclear Technology,Xi'an 710024,China)
出处 《强激光与粒子束》 CAS CSCD 北大核心 2021年第10期51-59,共9页 High Power Laser and Particle Beams
关键词 高空电磁脉冲 无线通信网络 分层视角 设备级 网络级 效应机理分析 high altitude electromagnetic pulse communication network hierarchical perspective equipment level network level effect mechanism analysis
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