On the Design of GaN Low Noise Amplifier for 5G Applications

Omar Mohammad Abbas, A. Jarndal
{"title":"On the Design of GaN Low Noise Amplifier for 5G Applications","authors":"Omar Mohammad Abbas, A. Jarndal","doi":"10.1109/ICECTA57148.2022.9990078","DOIUrl":null,"url":null,"abstract":"In this paper, different topologies for GaN High Electron Mobility Transistor (HEMT) based Low Noise Amplifier (LNA) are presented. The targeted application is sub-6 GHz 5th generation mobile network. The LNAs were simulated in ADS and their performance were investigated by means of the gain, noise-figure, stability-factor and return loss. Common-source (CS), common-gate (CG), cascade and cascode multi-stage LNAs with and without feedback were covered in this investigation. The simulation results show that the cascode systems offer a greater stability factor at high frequency spectrum, with respect to the cascaded topology. At 6 GHz, the cascode CS-CG structure with feedback has a smaller return loss and a wider, flatter gain than a standard cascode CS-CG structure. The LC-ladder cascade CS-CS with feedback has a broader flat gain but a higher input return loss, whereas the standard cascaded CS-CS has a lower noise Figure and return loss but poorer stability and bandwidth.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECTA57148.2022.9990078","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

In this paper, different topologies for GaN High Electron Mobility Transistor (HEMT) based Low Noise Amplifier (LNA) are presented. The targeted application is sub-6 GHz 5th generation mobile network. The LNAs were simulated in ADS and their performance were investigated by means of the gain, noise-figure, stability-factor and return loss. Common-source (CS), common-gate (CG), cascade and cascode multi-stage LNAs with and without feedback were covered in this investigation. The simulation results show that the cascode systems offer a greater stability factor at high frequency spectrum, with respect to the cascaded topology. At 6 GHz, the cascode CS-CG structure with feedback has a smaller return loss and a wider, flatter gain than a standard cascode CS-CG structure. The LC-ladder cascade CS-CS with feedback has a broader flat gain but a higher input return loss, whereas the standard cascaded CS-CS has a lower noise Figure and return loss but poorer stability and bandwidth.
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
5G应用GaN低噪声放大器设计研究
本文介绍了GaN高电子迁移率晶体管(HEMT)低噪声放大器(LNA)的不同拓扑结构。目标应用是6ghz以下的第五代移动网络。在ADS中对LNAs进行了仿真,并从增益、噪声系数、稳定系数和回波损耗等方面对其性能进行了研究。本研究涵盖了有反馈和没有反馈的共源(CS)、共门(CG)、级联和级联多阶段LNAs。仿真结果表明,相对于级联拓扑结构,级联系统在高频段具有更高的稳定系数。在6 GHz时,带反馈的级联码CS-CG结构比标准级联码CS-CG结构具有更小的回波损耗和更宽、更平坦的增益。带反馈的lc -梯级联CS-CS具有更宽的平坦增益,但输入回波损耗更高,而标准级联CS-CS具有更低的噪声系数和回波损耗,但稳定性和带宽较差。
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
Centroid-Based Clustering Using Sentential Embedding Similarity Measure Moss-Based Biotechnological Air Purification Control System Studying the Effect of Face Masks in Identifying Speakers using LSTM Mental Stress Analysis using the Power Spectrum of fNIRS Signals RF LNA with Simultaneous Noise-Cancellation and Distortion-Cancellation for Wireless RF Systems
×
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