基于65nm CMOS技术的5G蜂窝60GHz宽带LNA设计

S. Pournamy, Navin Kumar
{"title":"基于65nm CMOS技术的5G蜂窝60GHz宽带LNA设计","authors":"S. Pournamy, Navin Kumar","doi":"10.1109/CSNT.2017.8418559","DOIUrl":null,"url":null,"abstract":"In this paper, 60GHz millimeter wave (mmWave) two stage common source (CS) cascode low noise amplifier (LNA) with degenerative inductor is designed in 65nm CMOS technology. It has a wide band (57–64GHz) and highly stable characteristics. We have also proposed two different techniques to design the LNA unconditionally stable and increase its linearity without degrading other performancemetrics. Simulation results of a two stage LNA without the stability improvisation show a peak gain of 24.5dB at 61GHz, input return loss of −9.1dB, noise factor (NF) of 1.5dB, static power dissipation Pdc of 6.63mW and is conditionally stable. In one of the methods of designing LNA unconditionally stable is to reduce the gain to 19.5dB by incorporating an additional inductor at the source of second stage amplifier. Linearity is also increased to P1dB of −2.44dBm without degradation of other parameters. Another approach is to maintain the peak gain greater than 22dB by increasing the transconductance of the CMOS transistors. This increases the return loss to −14.5dB. Various obtained results are presented and discussed.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Design of 60GHz broadband LNA for 5G cellular using 65nm CMOS technology\",\"authors\":\"S. Pournamy, Navin Kumar\",\"doi\":\"10.1109/CSNT.2017.8418559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, 60GHz millimeter wave (mmWave) two stage common source (CS) cascode low noise amplifier (LNA) with degenerative inductor is designed in 65nm CMOS technology. It has a wide band (57–64GHz) and highly stable characteristics. We have also proposed two different techniques to design the LNA unconditionally stable and increase its linearity without degrading other performancemetrics. Simulation results of a two stage LNA without the stability improvisation show a peak gain of 24.5dB at 61GHz, input return loss of −9.1dB, noise factor (NF) of 1.5dB, static power dissipation Pdc of 6.63mW and is conditionally stable. In one of the methods of designing LNA unconditionally stable is to reduce the gain to 19.5dB by incorporating an additional inductor at the source of second stage amplifier. Linearity is also increased to P1dB of −2.44dBm without degradation of other parameters. Another approach is to maintain the peak gain greater than 22dB by increasing the transconductance of the CMOS transistors. This increases the return loss to −14.5dB. Various obtained results are presented and discussed.\",\"PeriodicalId\":382417,\"journal\":{\"name\":\"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNT.2017.8418559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2017.8418559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

基于65nm CMOS技术,设计了60GHz毫米波两级共源级联低噪声放大器(LNA)。它具有宽带(57-64GHz)和高度稳定的特性。我们还提出了两种不同的技术来设计LNA无条件稳定和提高其线性度而不降低其他性能。仿真结果表明,无稳定性即兴设计的两级LNA在61GHz时峰值增益为24.5dB,输入回波损耗为- 9.1dB,噪声系数(NF)为1.5dB,静态功耗Pdc为6.63mW,具有条件稳定性。设计LNA无条件稳定的方法之一是在二级放大器的源端增加一个额外的电感,将增益降低到19.5dB。线性度也增加到- 2.44dBm的P1dB,而没有其他参数的退化。另一种方法是通过增加CMOS晶体管的跨导来保持峰值增益大于22dB。这使回波损耗增加到- 14.5dB。提出并讨论了各种得到的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Design of 60GHz broadband LNA for 5G cellular using 65nm CMOS technology
In this paper, 60GHz millimeter wave (mmWave) two stage common source (CS) cascode low noise amplifier (LNA) with degenerative inductor is designed in 65nm CMOS technology. It has a wide band (57–64GHz) and highly stable characteristics. We have also proposed two different techniques to design the LNA unconditionally stable and increase its linearity without degrading other performancemetrics. Simulation results of a two stage LNA without the stability improvisation show a peak gain of 24.5dB at 61GHz, input return loss of −9.1dB, noise factor (NF) of 1.5dB, static power dissipation Pdc of 6.63mW and is conditionally stable. In one of the methods of designing LNA unconditionally stable is to reduce the gain to 19.5dB by incorporating an additional inductor at the source of second stage amplifier. Linearity is also increased to P1dB of −2.44dBm without degradation of other parameters. Another approach is to maintain the peak gain greater than 22dB by increasing the transconductance of the CMOS transistors. This increases the return loss to −14.5dB. Various obtained results are presented and discussed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Smart input: Provide mouse and keyboard input to a PC from android devices A hybrid approach for human skin detection Correlating multiple events and data in an ethernet network Data visualization through R and Azure for scaling machine training sets Robust machine learning of the complex-valued neurons
×
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