Quantifying the error contribution of noise parameters on Y-factor noise figure measurements

Ken Wong, J. Gorin, Guoquan Lu
{"title":"Quantifying the error contribution of noise parameters on Y-factor noise figure measurements","authors":"Ken Wong, J. Gorin, Guoquan Lu","doi":"10.1109/ARFTG.2017.8000821","DOIUrl":null,"url":null,"abstract":"Low noise receivers are critical in telecommunication systems. Lower the noise, the less transmission power is required to receive a signal within a given distance. This has a major impact on energy consumption and hence longer battery life. Noise contribution of a receiver is often specified by its noise figure. It is the ratio of the signal to noise power ratio at the input, Si/Ni, to the signal to noise power ratio at the output, So/No. The Y-factor method is the most common technique for determining the Noise Figure (NF) or effective input noise temperature (Te) of a Device Under Test (DUT). One of the reasons for its popularity is its simplicity. It is easy to do. An important assumption was made to allow this simplicity, the measurement system is well match or very low reflection interactions. When the assumption of the Y-factor measurement method is not met, significant error will occur. This paper will introduce a way to estimate the mismatch errors and in particular the noise parameter effect of the noise source output match. A new model for predicting the added uncertainty caused by the reflection coefficient of the noise source will be presented.","PeriodicalId":282023,"journal":{"name":"2017 89th ARFTG Microwave Measurement Conference (ARFTG)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 89th ARFTG Microwave Measurement Conference (ARFTG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARFTG.2017.8000821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Low noise receivers are critical in telecommunication systems. Lower the noise, the less transmission power is required to receive a signal within a given distance. This has a major impact on energy consumption and hence longer battery life. Noise contribution of a receiver is often specified by its noise figure. It is the ratio of the signal to noise power ratio at the input, Si/Ni, to the signal to noise power ratio at the output, So/No. The Y-factor method is the most common technique for determining the Noise Figure (NF) or effective input noise temperature (Te) of a Device Under Test (DUT). One of the reasons for its popularity is its simplicity. It is easy to do. An important assumption was made to allow this simplicity, the measurement system is well match or very low reflection interactions. When the assumption of the Y-factor measurement method is not met, significant error will occur. This paper will introduce a way to estimate the mismatch errors and in particular the noise parameter effect of the noise source output match. A new model for predicting the added uncertainty caused by the reflection coefficient of the noise source will be presented.
量化噪声参数对y因子噪声系数测量的误差贡献
低噪声接收机在电信系统中是至关重要的。噪声越低,在给定距离内接收信号所需的传输功率就越小。这对能源消耗有重大影响,因此电池寿命更长。一个接收机的噪声贡献通常用它的噪声系数来表示。它是输入端的信噪功率比Si/Ni与输出端的信噪功率比So/No之比。y因子法是确定被测设备(DUT)的噪声系数(NF)或有效输入噪声温度(Te)的最常用技术。它受欢迎的原因之一是它的简单。这很容易做到。一个重要的假设是允许这种简单性,测量系统是很好的匹配或非常低的反射相互作用。当y因子测量方法的假设不满足时,会产生较大的误差。本文将介绍一种估计失配误差的方法,特别是噪声源输出匹配的噪声参数影响。提出了一种新的模型来预测由噪声源反射系数引起的附加不确定性。
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:481959085
Book学术官方微信