Wei-Jiang Zhao, Hark-Byeong Park, Matthias H. Y. Tan, H. Park, E. Liu, Eakhwan Song, E. Li
{"title":"Far-field prediction from amplitude-only near-field measurements using equivalent electric currents","authors":"Wei-Jiang Zhao, Hark-Byeong Park, Matthias H. Y. Tan, H. Park, E. Liu, Eakhwan Song, E. Li","doi":"10.1109/ISEMC.2012.6350922","DOIUrl":null,"url":null,"abstract":"A general and flexible approach is presented for predicting far-field radiated emissions from a device using phaseless magnetic near-field scan data, which is based on the replacement of the actual radiating sources by an equivalent set of electric currents over a planar surface near the device. These equivalent currents used to predict the far-field radiated emissions are determined from near-field scan data by solving two independent nonlinear inverse problems with a global optimization algorithm. Numerical examples are presented to demonstrate the validity and capability of the presented approach.","PeriodicalId":197346,"journal":{"name":"2012 IEEE International Symposium on Electromagnetic Compatibility","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Symposium on Electromagnetic Compatibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEMC.2012.6350922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A general and flexible approach is presented for predicting far-field radiated emissions from a device using phaseless magnetic near-field scan data, which is based on the replacement of the actual radiating sources by an equivalent set of electric currents over a planar surface near the device. These equivalent currents used to predict the far-field radiated emissions are determined from near-field scan data by solving two independent nonlinear inverse problems with a global optimization algorithm. Numerical examples are presented to demonstrate the validity and capability of the presented approach.