J. Wood, D. Lamey, M. Guyonnet, D. Chan, D. Bridges, N. Monsauret, P. Aaen
{"title":"An extrinsic component parameter extraction method for high power RF LDMOS transistors","authors":"J. Wood, D. Lamey, M. Guyonnet, D. Chan, D. Bridges, N. Monsauret, P. Aaen","doi":"10.1109/MWSYM.2008.4633239","DOIUrl":null,"url":null,"abstract":"A new extrinsic network and extrinsic parameter extraction methodology is developed for high power RF LDMOS transistor modeling. This new method uses accurate manifold de-embedding using electromagnetic simulation, and optimization of the extrinsic network parameter values over a broad frequency range. The new extrinsic network accommodates feedback effects which are observed in high power transistors. This improved methodology allows us to achieve a good agreement between measured and modeled S-parameters in the frequency range of 0.5 to 6 GHz for different bias conditions. Large-signal verification of this new model shows a very good match with measurements at 2.14 GHz.","PeriodicalId":273767,"journal":{"name":"2008 IEEE MTT-S International Microwave Symposium Digest","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE MTT-S International Microwave Symposium Digest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSYM.2008.4633239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
A new extrinsic network and extrinsic parameter extraction methodology is developed for high power RF LDMOS transistor modeling. This new method uses accurate manifold de-embedding using electromagnetic simulation, and optimization of the extrinsic network parameter values over a broad frequency range. The new extrinsic network accommodates feedback effects which are observed in high power transistors. This improved methodology allows us to achieve a good agreement between measured and modeled S-parameters in the frequency range of 0.5 to 6 GHz for different bias conditions. Large-signal verification of this new model shows a very good match with measurements at 2.14 GHz.