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通信装备随机噪声电磁辐射效应预测方法
引用本文:李伟,魏光辉,孙梳清,潘晓东,万浩江.通信装备随机噪声电磁辐射效应预测方法[J].北京理工大学学报,2019,39(11):1167-1172.
作者姓名:李伟  魏光辉  孙梳清  潘晓东  万浩江
作者单位:陆军工程大学电磁环境效应国家重点实验室,河北,石家庄050003;国防大学联合作战学院,河北,石家庄050084;陆军工程大学电磁环境效应国家重点实验室,河北,石家庄050003;中国人民解放军61469部队,河北,石家庄050000
基金项目:国家自然科学基金资助项目(61372040)
摘    要:针对随机噪声辐射对用频装备电磁干扰效应研究的不足,对通信装备在高斯随机噪声辐射下的效应预测进行了研究.通过对随机噪声对功率敏感型通信装备带内干扰的机理分析建立了预测模型,并定义了效应指数,通过计算效应指数预测随机噪声辐射对通信装备的干扰.文中以某型超短波电台为试验对象,分别进行了单频和调幅连续波、高斯白噪声、窄带高斯噪声电磁辐射效应试验,不同随机噪声辐射下受试设备被干扰的概率分别为100%、98.7%、99.9%和99.1%.试验结果表明,本文提出的模型和预测方法能够有效地对随机噪声辐射下通信装备生存能力进行预测,对战场条件下用频装备能否有效发挥作战效能具有重要的意义. 

关 键 词:电磁干扰  辐射效应  随机噪声  功率敏感  预测
收稿时间:2018/6/5 0:00:00

Electromagnetic Radiation Effect Prediction of Random Noise for Communication Equipment
LI Wei,WEI Guang-hui,SUN Shu-qing,PAN Xiao-dong and WAN Hao-jiang.Electromagnetic Radiation Effect Prediction of Random Noise for Communication Equipment[J].Journal of Beijing Institute of Technology(Natural Science Edition),2019,39(11):1167-1172.
Authors:LI Wei  WEI Guang-hui  SUN Shu-qing  PAN Xiao-dong and WAN Hao-jiang
Institution:1. National Key Laboratory of Electromagnetic Environment Effects, Army Engineering University, Shijiazhuang, Hebei 050003, China;2. Joint Operations College, PLA National Defense University, Shijiazhuang, Hebei 050084, China;3. Unit 61469 of the PLA, Shijiazhuang, Hebei 050000, China
Abstract:To fully analyze the random noise radiation interference on the frequency equipment, the electromagnetic effect of communication equipment under Gaussian random noise radiation was studied. Analyzing the in-band interference mechanism of power-sensitive communication equipment, a prediction model was established and the effect index was defined. The random noise radiation interference of the communication equipment was predicted by calculating the effect index. Taking the VHF radio as the experimental object, sine and AM wave, Gauss white noise, narrowband noise tests were carried out respectively. The interference probabilities under different test conditions were set as 100%, 98.7%, 99.9%, 99.1%. The test results show that the proposed model and prediction method can effectively forecast the viability of the communication equipment under the random noise radiation interference, possessing important engineering application value.
Keywords:electromagnetic interference  radiation effect  random noise  power sensitive  forecasting
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