Teaching radiofrequency power measurements

C. Carobbi
{"title":"Teaching radiofrequency power measurements","authors":"C. Carobbi","doi":"10.23919/URSIGASS49373.2020.9232370","DOIUrl":null,"url":null,"abstract":"A method is here proposed to teach radiofrequency (RF) power measurements to master’s degree students in electronics and communications engineering. Before going into the details of the principle of operation and architecture of power meters (not discussed here) the topic of power measurement is introduced emphasizing the fact that power generators and meters are calibrated to indicate the power delivered to, or absorbed by, a perfect Z0 (e.g. $50 \\Omega)$ load. Then, it is discussed what happens when this perfect Z0 load assumption is not satisfied introducing the mismatch correction. The mismatch correction is analyzed in terms of uncertainty governed by the U-shaped probability density function (PDF). The U-shaped PDF gives the opportunity to discuss state-of-knowledge PDFs whose use is ubiquitous in measurement uncertainty estimation. Indeed, such U-shaped PDF is not the result of direct observation of the physical world, it reflects the state of knowledge of the experimenter about the physical phenomenon. These concepts are finally applied to a simple estimation of RF power measurement uncertainty, showing that mismatch is, as frequently occurs in precision power measurements, the dominant contribution to uncertainty.","PeriodicalId":438881,"journal":{"name":"2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science","volume":"176 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIGASS49373.2020.9232370","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 method is here proposed to teach radiofrequency (RF) power measurements to master’s degree students in electronics and communications engineering. Before going into the details of the principle of operation and architecture of power meters (not discussed here) the topic of power measurement is introduced emphasizing the fact that power generators and meters are calibrated to indicate the power delivered to, or absorbed by, a perfect Z0 (e.g. $50 \Omega)$ load. Then, it is discussed what happens when this perfect Z0 load assumption is not satisfied introducing the mismatch correction. The mismatch correction is analyzed in terms of uncertainty governed by the U-shaped probability density function (PDF). The U-shaped PDF gives the opportunity to discuss state-of-knowledge PDFs whose use is ubiquitous in measurement uncertainty estimation. Indeed, such U-shaped PDF is not the result of direct observation of the physical world, it reflects the state of knowledge of the experimenter about the physical phenomenon. These concepts are finally applied to a simple estimation of RF power measurement uncertainty, showing that mismatch is, as frequently occurs in precision power measurements, the dominant contribution to uncertainty.
射频功率测量教学
本文提出了一种对电子与通信工程专业硕士生进行射频功率测量教学的方法。在详细介绍电能表的工作原理和架构(此处不讨论)之前,介绍了功率测量的主题,强调了发电机和电能表经过校准以指示传递到完美的Z0(例如$50 \Omega)$负载或被其吸收的功率。然后,讨论了引入失配校正后,当完全Z0负载假设不满足时会发生什么情况。用u型概率密度函数(PDF)控制的不确定性来分析错配校正。u形PDF提供了讨论在测量不确定度估计中普遍使用的知识状态PDF的机会。事实上,这种u型PDF并不是直接观察物理世界的结果,它反映了实验者对物理现象的认识状态。最后将这些概念应用于射频功率测量不确定度的简单估计,结果表明,不匹配是导致不确定度的主要因素,这在精密功率测量中经常发生。
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:481959085
Book学术官方微信