Yunqiu Wu, Shili Cong, Chenxi Zhao, Huihua Liu, K. Kang
{"title":"CMOS 90 nm multi-bias transistor model Up to 66 GHz","authors":"Yunqiu Wu, Shili Cong, Chenxi Zhao, Huihua Liu, K. Kang","doi":"10.1109/EDAPS.2017.8276926","DOIUrl":null,"url":null,"abstract":"A multi-bias transistor model is proposed in this paper. The nonlinear drain-source current, the output resistance, and the intrinsic capacitance are fully considered to characterize the transistor's bias-dependent performance. On this basis, the values of the model elements are extracted under different bias conditions. Furthermore, a 90 nm CMOS transistor is fabricated and measured to validate the proposed model. The model calculation results are compared with the measurement results, and the root-mean-square error of the model is below 0.007 up to 66 GHz.","PeriodicalId":329279,"journal":{"name":"2017 IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDAPS.2017.8276926","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
A multi-bias transistor model is proposed in this paper. The nonlinear drain-source current, the output resistance, and the intrinsic capacitance are fully considered to characterize the transistor's bias-dependent performance. On this basis, the values of the model elements are extracted under different bias conditions. Furthermore, a 90 nm CMOS transistor is fabricated and measured to validate the proposed model. The model calculation results are compared with the measurement results, and the root-mean-square error of the model is below 0.007 up to 66 GHz.