{"title":"Large-signal MOSFET modeling using frequency-domain nonlinear system identification","authors":"Moning Zhang, Yang Tang, Zuochang Ye","doi":"10.1109/ICCAD.2014.7001418","DOIUrl":null,"url":null,"abstract":"Traditional BSIM MOSFET model extraction considers I-V/C-V curve fitting to capture DC non-linearity and S-parameter fitting to capture high-frequency small-signal behavior. This leads to poor accuracy when modeling MOSFETs in large-signal RF circuits such as power amplifiers, which require to model high-frequency large-signal behavior of MOSFETs. In this paper, we proposed an automatic method for automatically modeling high-frequency large-signal behavior for MOSFETs. The input is a pre-characterized MOSFET model and large-signal measurement data. The output is an enhanced model that model not only DC and S-parameter characteristics but also large-signal behavior. Experiments show that the proposed method can accurately capture both the nonlinear and dynamic behavior of RF MOSFET.","PeriodicalId":426584,"journal":{"name":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.2014.7001418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Traditional BSIM MOSFET model extraction considers I-V/C-V curve fitting to capture DC non-linearity and S-parameter fitting to capture high-frequency small-signal behavior. This leads to poor accuracy when modeling MOSFETs in large-signal RF circuits such as power amplifiers, which require to model high-frequency large-signal behavior of MOSFETs. In this paper, we proposed an automatic method for automatically modeling high-frequency large-signal behavior for MOSFETs. The input is a pre-characterized MOSFET model and large-signal measurement data. The output is an enhanced model that model not only DC and S-parameter characteristics but also large-signal behavior. Experiments show that the proposed method can accurately capture both the nonlinear and dynamic behavior of RF MOSFET.