基于优化的非对称沟道结构GaN HEMT寄生参数提取新方法

Ye Yuan, Z. Zhong, Yong-xin Guo, Shanxiang Mu
{"title":"基于优化的非对称沟道结构GaN HEMT寄生参数提取新方法","authors":"Ye Yuan, Z. Zhong, Yong-xin Guo, Shanxiang Mu","doi":"10.1109/IMWS-AMP.2015.7324920","DOIUrl":null,"url":null,"abstract":"A good large-signal model relies on the accurate small-signal parameter extraction. In order to get an accurate small signal model, the parasitic parameters must be de-embedded precisely. In this paper, an optimization based parasitic parameters extraction method is proposed. This method take the effect of asymmetrical channel structure at cold-FET condition into consideration.","PeriodicalId":6625,"journal":{"name":"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)","volume":"72 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A new optimization based parasitic parameters extraction method for GaN HEMT with asymmetrical channel structure\",\"authors\":\"Ye Yuan, Z. Zhong, Yong-xin Guo, Shanxiang Mu\",\"doi\":\"10.1109/IMWS-AMP.2015.7324920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A good large-signal model relies on the accurate small-signal parameter extraction. In order to get an accurate small signal model, the parasitic parameters must be de-embedded precisely. In this paper, an optimization based parasitic parameters extraction method is proposed. This method take the effect of asymmetrical channel structure at cold-FET condition into consideration.\",\"PeriodicalId\":6625,\"journal\":{\"name\":\"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)\",\"volume\":\"72 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMWS-AMP.2015.7324920\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMWS-AMP.2015.7324920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

一个好的大信号模型依赖于精确的小信号参数提取。为了得到精确的小信号模型,必须精确地去嵌寄生参数。提出了一种基于优化的寄生参数提取方法。该方法考虑了冷场效应管条件下沟道结构不对称的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new optimization based parasitic parameters extraction method for GaN HEMT with asymmetrical channel structure
A good large-signal model relies on the accurate small-signal parameter extraction. In order to get an accurate small signal model, the parasitic parameters must be de-embedded precisely. In this paper, an optimization based parasitic parameters extraction method is proposed. This method take the effect of asymmetrical channel structure at cold-FET condition into consideration.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信