Enhanced PHD model extraction by improving harmonic response superposition during extraction

D. Bespalko, S. Boumaiza
{"title":"Enhanced PHD model extraction by improving harmonic response superposition during extraction","authors":"D. Bespalko, S. Boumaiza","doi":"10.1109/ARFTG.2015.7381465","DOIUrl":null,"url":null,"abstract":"A Poly-Harmonic Distortion (PHD) model extraction procedure is proposed to improve the model accuracy for unmatched, broadband RF transistors by minimizing multi-harmonic signal reflections within the measurement system. As a result, the fictitious need for higher-order models is avoided by minimizing the order of the nonlinear measurement system used to extract the model. Under strongly nonlinear conditions the accuracy of the PHD model is improved by 5dB, in terms of Normalized Mean-Squared Error (NMSE), averaging less than 1% time-domain output power error.","PeriodicalId":170825,"journal":{"name":"2015 86th ARFTG Microwave Measurement Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 86th ARFTG Microwave Measurement Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARFTG.2015.7381465","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

A Poly-Harmonic Distortion (PHD) model extraction procedure is proposed to improve the model accuracy for unmatched, broadband RF transistors by minimizing multi-harmonic signal reflections within the measurement system. As a result, the fictitious need for higher-order models is avoided by minimizing the order of the nonlinear measurement system used to extract the model. Under strongly nonlinear conditions the accuracy of the PHD model is improved by 5dB, in terms of Normalized Mean-Squared Error (NMSE), averaging less than 1% time-domain output power error.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过改进提取过程中的谐波响应叠加,增强PHD模型的提取
提出了一种多谐波失真(PHD)模型提取方法,通过最小化测量系统内的多谐波信号反射来提高非匹配宽带射频晶体管的模型精度。因此,通过最小化用于提取模型的非线性测量系统的阶数,避免了对高阶模型的虚构需求。在强非线性条件下,PHD模型的归一化均方误差(NMSE)精度提高了5dB,平均时域输出功率误差小于1%。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Broadband single-cell detection with a coplanar series gap Uncertainty analysis in coplanar waveguide with unscented transformation Measurement methods for the permittivity of thin sheet dielectric materials Continuing challenge of improving measurement accuracy in terahertz vector network analyzers (INVITED) — The Taming of "Terahertz vector network analyzers" Calibration/verification standards for measurement of extremely high impedances
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1