J. Russer, M. Haider, P. Russer, A. Baev, Y. Kuznetsov
{"title":"Cyclostationarity in EMI Assessment of PCBs","authors":"J. Russer, M. Haider, P. Russer, A. Baev, Y. Kuznetsov","doi":"10.23919/USNC-URSINRSM51531.2021.9336442","DOIUrl":null,"url":null,"abstract":"Printed circuit boards (PCBs) are a source of radiated electromagnetic interference (EMI). Signal data transfer occurring on digital circuits can be considered in EMI modeling as a random process with cyclostationary properties. Electromagnetic fields originating from random or quasi-random source processes with stationary Gaussian probability distribution can be characterized by field-field correlations. For cyclostationary processes, the analysis procedure needs to be extended. In this contribution, we discuss the exposure of cycostationarity in the context of near field correlation analysis.","PeriodicalId":180982,"journal":{"name":"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/USNC-URSINRSM51531.2021.9336442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Printed circuit boards (PCBs) are a source of radiated electromagnetic interference (EMI). Signal data transfer occurring on digital circuits can be considered in EMI modeling as a random process with cyclostationary properties. Electromagnetic fields originating from random or quasi-random source processes with stationary Gaussian probability distribution can be characterized by field-field correlations. For cyclostationary processes, the analysis procedure needs to be extended. In this contribution, we discuss the exposure of cycostationarity in the context of near field correlation analysis.