A Broadband High Gain, Noise-Canceling Balun LNA with 3–5 GHz UWB Receivers for Medical Applications

Author:

A. Kareem Thaar,Trabelsi Hatem

Abstract

The Ultra-Wideband Wireless Body Area Network (UWB-WBAN) has been identified to provide an efficient, low-power, and improved wireless communication between sensor nodes worn by the human body to monitor physiological signals. The first part of the UWB receiver is a low noise amplifier (LNA). This article describes an upgrade to a sort of balun LNA that is entirely transistor-based and devoid of inductors for medical worn communication service. The balun LNA uses common gate and a common source configuration which cancels the noise generated by the common gate. This work uses the transistors in place of resistors to minimize the integrated circuit's area, as well as finding the best values for the dimensions of the transistor to minimize energy consumption, achieve a high gain and good linearity. This reduces the noise figure. The designed system utilizes the UWB frequency range of 3-5 GHz and a voltage supply of 1.8V.  The designed balun LNA is able to achieve a peak gain of 25.5 dB and noise figure (NF) less than 3.2-3.5 dB using 180µm TSMC CMOS technology. The IIP3 is quite high at 2 dBm, whereas the IIP2 maximum is 21 dBm. The entire power consumption is less than 7.2 mW.

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering

Cited by 2 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. Design of a Broadband LNA Based on Various Distributed-Element Microwave Filters With Semi-Distributed Notch Filtering for Interference Rejection;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

2. A Novel CSS-UWB Receiver Front-End;2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS);2022-06-06

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