A gm/ID-Based Design Strategy for IoT and Ultra-Low-Power OTAs with Fast-Settling and Large Capacitive Loads

Author:

Giustolisi GianlucaORCID,Palumbo GaetanoORCID

Abstract

In this paper, a new strategy for the design of ultra-low-power CMOS operational transconductance amplifiers (OTAs), using the gm/ID approach, is proposed for the Internet-of-things (IoT) scenario. The strategy optimizes the speed/dissipation of the OTA in terms of settling time, including slew-rate effects. It was designed for large capacitive loads and for transistors biased in the sub-threshold region, but it is also suitable for low-capacitive loads or for transistors biased in the saturation region. To validate the proposed strategy, a well-known three-stage OTA was designed starting from capacitive load and settling time requirements. Simulations confirmed that the OTA satisfies the specifications (even under Monte Carlo analysis), thus proving the correctness of the proposed approach.

Funder

Università degli Studi di Catania

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering

Cited by 7 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. A design approach for class-AB operational amplifier using the gm/ID methodology;Analog Integrated Circuits and Signal Processing;2024-02-11

2. A Differential-to-Single-Ended Converter Based on Enhanced Body-Driven Current Mirrors Targeting Ultra-Low-Voltage OTAs;Electronics;2022-11-22

3. A Design Procedure for Sizing Comparators in Active Rectifiers using $g_{m}/I_{D}$ Technique;2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI);2022-08-22

4. A Standard-Cell-Based CMFB for Fully Synthesizable OTAs;Journal of Low Power Electronics and Applications;2022-05-05

5. Robust CNFET Circuit Sizing Optimization;2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT);2022-04-18

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