{"title":"A multi-fidelity modelling approach for cosite interference analysis","authors":"F. German, Matthew Young, Matthew C. Miller","doi":"10.1109/ISEMC.2009.5284586","DOIUrl":null,"url":null,"abstract":"The accurate simulation of cosite electromagnetic interference (EMI) is often limited by the information that is available for characterizing the individual systems operating in the cosite environment. In this paper, we present an analysis methodology to address cosite interference predictions using a multi-fidelity modelling approach that provides the analyst with a single integrated simulation environment that allows different prediction techniques to be used depending on what information is available, from fairly simple front-end radio models to more complex methodologies based on non-linear RF system level simulations. An overview of the analysis engines is provided as well as results for an example application using actual measured data.","PeriodicalId":268582,"journal":{"name":"2009 IEEE International Symposium on Electromagnetic Compatibility","volume":"65 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Symposium on Electromagnetic Compatibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEMC.2009.5284586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
The accurate simulation of cosite electromagnetic interference (EMI) is often limited by the information that is available for characterizing the individual systems operating in the cosite environment. In this paper, we present an analysis methodology to address cosite interference predictions using a multi-fidelity modelling approach that provides the analyst with a single integrated simulation environment that allows different prediction techniques to be used depending on what information is available, from fairly simple front-end radio models to more complex methodologies based on non-linear RF system level simulations. An overview of the analysis engines is provided as well as results for an example application using actual measured data.