{"title":"GaAs DGMESFET modeling using SGMESFET models","authors":"S. Bashirzadeh, A. Nabavi, M. Fardis","doi":"10.1109/RFIT.2005.1598911","DOIUrl":null,"url":null,"abstract":"This paper presents a complete and enhanced model for dual-gate MESFETs (DGMESFETs) using a cascode connection of dual single-gate MESFETs (SGMESFET) embedded by a group of external parasitic elements. An enhanced bias and frequency-dependent SGMESFET model is employed for internal SGFET's, which accounts for charge-conservation and thermal effects. The initial values of the model parameters are obtained by measurement of DC and S-parameters. The parameters are then optimized using SAS, MATLAB and HSPICE. The model is implemented in HSPICE and its accuracy in predicting the characteristics of a NE25139 transistor is tested by DC and AC analysis.","PeriodicalId":337918,"journal":{"name":"2005 IEEE International Wkshp on Radio-Frequency Integration Technology: Integrated Circuits for Wideband Comm & Wireless Sensor Networks","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Wkshp on Radio-Frequency Integration Technology: Integrated Circuits for Wideband Comm & Wireless Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFIT.2005.1598911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents a complete and enhanced model for dual-gate MESFETs (DGMESFETs) using a cascode connection of dual single-gate MESFETs (SGMESFET) embedded by a group of external parasitic elements. An enhanced bias and frequency-dependent SGMESFET model is employed for internal SGFET's, which accounts for charge-conservation and thermal effects. The initial values of the model parameters are obtained by measurement of DC and S-parameters. The parameters are then optimized using SAS, MATLAB and HSPICE. The model is implemented in HSPICE and its accuracy in predicting the characteristics of a NE25139 transistor is tested by DC and AC analysis.