A Practical Guide to Optimal Impedance Matching for UHF RFID Chip

IF 2.3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE journal of radio frequency identification Pub Date : 2024-02-19 DOI:10.1109/JRFID.2024.3367452
Nicolas Barbot;Ionela Prodan;Pavel Nikitin
{"title":"A Practical Guide to Optimal Impedance Matching for UHF RFID Chip","authors":"Nicolas Barbot;Ionela Prodan;Pavel Nikitin","doi":"10.1109/JRFID.2024.3367452","DOIUrl":null,"url":null,"abstract":"This paper shows that the classical conjugate impedance matching used in the UHF RFID is not optimal anymore with new chips that have high sensitivity. The optimal matching allowing to maximize the read range of an RFID system (reader and tag) is introduced. The principle relies on finding the optimal trade-off between the power received by the tag and the modulated power backscattered to the reader. This matching depends on both tag and reader parameters. The proposed method is optimal and can be applied to any tag (passive and semi-passive). Compared to classical conjugate impedance matching, we show that this new approach can increase the read range by 22% and 8% in two examples: for a semi-passive tag based on Monza X8-K Dura chip and a passive tag based on Monza R6-P chip, respectively. Finally, a practical guide is proposed for antenna designers to optimize the matching in practical applications.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE journal of radio frequency identification","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10440148/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

This paper shows that the classical conjugate impedance matching used in the UHF RFID is not optimal anymore with new chips that have high sensitivity. The optimal matching allowing to maximize the read range of an RFID system (reader and tag) is introduced. The principle relies on finding the optimal trade-off between the power received by the tag and the modulated power backscattered to the reader. This matching depends on both tag and reader parameters. The proposed method is optimal and can be applied to any tag (passive and semi-passive). Compared to classical conjugate impedance matching, we show that this new approach can increase the read range by 22% and 8% in two examples: for a semi-passive tag based on Monza X8-K Dura chip and a passive tag based on Monza R6-P chip, respectively. Finally, a practical guide is proposed for antenna designers to optimize the matching in practical applications.
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
超高频 RFID 芯片最佳阻抗匹配实用指南
本文表明,超高频射频识别(UHF RFID)中使用的经典共轭阻抗匹配对于具有高灵敏度的新型芯片来说已不再是最佳匹配。本文介绍了可最大化 RFID 系统(读取器和标签)读取范围的最佳匹配方法。其原理在于找到标签接收功率与读取器反向散射调制功率之间的最佳平衡点。这种匹配取决于标签和阅读器的参数。所提出的方法是最优的,可应用于任何标签(无源和半无源)。与传统的共轭阻抗匹配相比,我们在两个例子中展示了这种新方法能将读取范围分别提高 22% 和 8%:一个是基于 Monza X8-K Dura 芯片的半无源标签,另一个是基于 Monza R6-P 芯片的无源标签。最后,还为天线设计人员提出了在实际应用中优化匹配的实用指南。
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
CiteScore
5.70
自引率
0.00%
发文量
0
期刊最新文献
Robust Low-Cost Drone Detection and Classification Using Convolutional Neural Networks in Low SNR Environments Overview of RFID Applications Utilizing Neural Networks A 920-MHz, 160-μW, 25-dB Gain Negative Resistance Reflection Amplifier for BPSK Modulation RFID Tag A Fully-Passive Frequency Diverse Lens-Enabled mmID for Precise Ranging and 2-Axis Orientation Detection in Next-Generation IoT and Cyberphysical Systems A Compact Slot-Based Bi-Directional UHF RFID Reader Antenna for Far-Field Applications
×
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