{"title":"Novel HEMT Models with Improved Higher-Order Derivatives and Extracting Their Parameters Using Multibias S-Parameters","authors":"J. Dobes, M. Grábner","doi":"10.1109/CSICS.2011.6062468","DOIUrl":null,"url":null,"abstract":"Novel two HEMT models are suggested in the paper with improved accuracy of higher-order derivatives, which is very important for modeling radio-frequency devices as mixers, etc. The proposed modifications of the models are based on empirical relations for the transconductance dependence on gate-source voltage. Moreover, a way is suggested how to extract the model parameters of various nonlinear HEMT models from a measured multibias s-parameter data set. The proposed extraction procedure is based on a three-step identification procedure that uses robust optimization methods. Finally, various HEMT models -- including the proposed ones -- are compared in terms of the root-mean-square error of DC characteristics and multibias s-parameters.","PeriodicalId":275064,"journal":{"name":"2011 IEEE Compound Semiconductor Integrated Circuit Symposium (CSICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Compound Semiconductor Integrated Circuit Symposium (CSICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSICS.2011.6062468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Novel two HEMT models are suggested in the paper with improved accuracy of higher-order derivatives, which is very important for modeling radio-frequency devices as mixers, etc. The proposed modifications of the models are based on empirical relations for the transconductance dependence on gate-source voltage. Moreover, a way is suggested how to extract the model parameters of various nonlinear HEMT models from a measured multibias s-parameter data set. The proposed extraction procedure is based on a three-step identification procedure that uses robust optimization methods. Finally, various HEMT models -- including the proposed ones -- are compared in terms of the root-mean-square error of DC characteristics and multibias s-parameters.