A 9.8–30.1 GHz CMOS low-noise amplifier with a 3.2-dB noise figure using inductor- and transformer-based gm-boosting techniques
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000510.pdf
Reference31 articles.
1. Andreani P, Sjoland H, 2001. Noise optimization of an inductively degenerated CMOS low noise amplifier. IEEE Trans Circ Syst II, 48(9):835–841. https://doi.org/10.1109/82.964996
2. Borremans J, Wambacq P, Soens C, et al., 2008. Low-area active-feedback low-noise amplifier design in scaled digital CMOS. IEEE J Sol-State Circ, 43(11):2422–2433. https://doi.org/10.1109/JSSC.2008.2005434
3. Çaişkan C, Kalyoncu I, Yazici M, et al., 2019. Sub-1-dB and wideband SiGe BiCMOS low-noise amplifiers for X-band applications. IEEE Trans Circ Syst I, 66(4):1419–1430. https://doi.org/10.1109/tcsi.2018.2883949
4. Chen HC, Wu L, Che WQ, et al., 2019. A wideband LNA based on current-reused CS-CS topology and Gm-boosting technique for 5G application. IEEE Asia-Pacific Microwave Conf, p.1158–1160. https://doi.org/10.1109/APMC46564.2019.9038417
5. Chen HK, Chen HJ, 2005. A 5.2-GHz cascade-MOS 0.35-µm BiCMOS technology ultra-low-power LNA using a novel floating-body method. Microw Opt Technol Lett, 45(5):363–367. https://doi.org/10.1002/mop.20824
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Innovative techniques for achieving flat response in a dual-resonance ultra-wideband low-noise amplifier;Physica Scripta;2024-07-08
2. An Improved Circuit of Super Source Follower Based on gm-boosting Technology;Journal of Physics: Conference Series;2023-11-01
3. High linearity U-band power amplifier design: a novel intermodulation point analysis method;Frontiers of Information Technology & Electronic Engineering;2023-01
4. A CMOS Low-Power Variable-Gain LNA Based on Triple Cascoded Common-Source Amplifiers and Forward-Body-Bias Technology;2021 IEEE MTT-S International Wireless Symposium (IWS);2021-05-23
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3