Large-signal MOSFET modeling using frequency-domain nonlinear system identification

Moning Zhang, Yang Tang, Zuochang Ye
{"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.
基于频域非线性系统辨识的大信号MOSFET建模
传统的BSIM MOSFET模型提取采用I-V/C-V曲线拟合捕捉直流非线性,s参数拟合捕捉高频小信号行为。这导致在大信号RF电路(如功率放大器)中建模mosfet时精度较差,这需要对mosfet的高频大信号行为进行建模。在本文中,我们提出了一种自动建模mosfet高频大信号行为的方法。输入是预表征的MOSFET模型和大信号测量数据。输出是一个增强模型,不仅可以模拟直流和s参数特性,还可以模拟大信号行为。实验表明,该方法能准确地捕捉到射频MOSFET的非线性和动态特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信