Design of High Performance Low-Noise Amplifier Circuit Based on Complementary Metal Oxide Semiconductor Technology

Author:

Huang Chao1,Yin Wan-Jun1

Affiliation:

1. Sichuan Vocational College of Information Technology, SiChuan, Guangyuan, 628040, P. R. China

Abstract

This paper designs a body-biased (BB) differential cascode low-noise amplifier (LNA) with current bias (CR) and capacitor cross-coupling (CCC) technology that meets the bandwidth requirements of 5 GHz wireless applications. In the design, the CCC technology in the differential cascode topology is used to effectively suppress the common mode noise, thereby improving the noise figure. The series resonant network eliminates parasitic capacitance at the input and output ends, thereby improving the power transmission efficiency. The CR technology formed by the intermediate capacitor shares the DC current input to the output device, thereby increasing the gain. This paper uses BB technology in the design to lower the threshold of the cascode device and improve the transconductance, which further improves the gain and reduces the power consumption. The CCC technology used in the paper improves linearity by eliminating the non-linear components present in the input device, which will not interfere with the transconductance of the output stage. This article has obtained excellent performance parameters including gain, noise figure (NF) and linearity without affecting the power consumption, integration and cost of the proposed design.

Publisher

American Scientific Publishers

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Cited by 1 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

同舟云学术

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