A Low-Power Low-Noise Neural Recording Amplifier With Improved Telescopic-Cascode OTA

Mohammad-Amin Mohtasham-Nia, M. Yavari
{"title":"A Low-Power Low-Noise Neural Recording Amplifier With Improved Telescopic-Cascode OTA","authors":"Mohammad-Amin Mohtasham-Nia, M. Yavari","doi":"10.1109/IICM55040.2021.9730196","DOIUrl":null,"url":null,"abstract":"In this paper, a fully-differential low-power low-noise neural recording amplifier with a novel recycling telescopic-cascode (RTC) operational transconductance amplifier (OTA) is presented. In the proposed RTC-OTA, the current recycling and positive feedback cross-coupled transistors are utilized to significantly improve the OTA's parameters such as DC gain and unity gain bandwidth. The gain enhancement also improves the linearity in the closed-loop structure. Extensive analytical calculations and simulation results using the $\\boldsymbol{0.18-\\mu \\mathrm{m}}$ TSMC CMOS process are provided to evaluate the usefulness of the proposed OTA. The simulated neural recording amplifier achieves 4.46 $\\boldsymbol{\\mu \\mathrm{V}_{\\text{rms}}}$ input-referred noise over 1 Hz-10 kHz bandwidth, 1.82 noise efficiency factor, -46 dB total harmonic distortion (THD) for an 18 $\\boldsymbol{\\text{mV}_{\\text{pp}}}$, 1kHz sinusoidal input. The power consumption is 2.25 $\\boldsymbol{\\mu \\mathrm{W}}$ from a 1.8-V voltage supply.","PeriodicalId":299499,"journal":{"name":"2021 Iranian International Conference on Microelectronics (IICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Iranian International Conference on Microelectronics (IICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICM55040.2021.9730196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, a fully-differential low-power low-noise neural recording amplifier with a novel recycling telescopic-cascode (RTC) operational transconductance amplifier (OTA) is presented. In the proposed RTC-OTA, the current recycling and positive feedback cross-coupled transistors are utilized to significantly improve the OTA's parameters such as DC gain and unity gain bandwidth. The gain enhancement also improves the linearity in the closed-loop structure. Extensive analytical calculations and simulation results using the $\boldsymbol{0.18-\mu \mathrm{m}}$ TSMC CMOS process are provided to evaluate the usefulness of the proposed OTA. The simulated neural recording amplifier achieves 4.46 $\boldsymbol{\mu \mathrm{V}_{\text{rms}}}$ input-referred noise over 1 Hz-10 kHz bandwidth, 1.82 noise efficiency factor, -46 dB total harmonic distortion (THD) for an 18 $\boldsymbol{\text{mV}_{\text{pp}}}$, 1kHz sinusoidal input. The power consumption is 2.25 $\boldsymbol{\mu \mathrm{W}}$ from a 1.8-V voltage supply.
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
基于改进望远镜- cascode OTA的低功耗低噪声神经记录放大器
提出了一种采用新型循环伸缩级联码(RTC)跨导运算放大器的全差分低功耗低噪声神经记录放大器。在RTC-OTA中,利用电流回收和正反馈交叉耦合晶体管,显著提高了OTA的直流增益和单位增益带宽等参数。增益增强还改善了闭环结构的线性度。使用$\boldsymbol{0.18-\mu \mathrm{m}}$ TSMC CMOS工艺提供了广泛的分析计算和仿真结果,以评估所提出的OTA的有效性。仿真神经记录放大器在1hz - 10khz带宽范围内实现4.46 $\boldsymbol{\mu \ maththrm {V}_{\text{rms}}}$输入参考噪声,噪声效率系数为1.82,总谐波失真(THD)为-46 dB,输入频率为18 $\boldsymbol{\text{mV}_{\text{pp}}}$, 1kHz。功耗为2.25 $\boldsymbol{\mu \mathrm{W}}$,来自1.8 v电压电源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design of a 3-state Unit Cell for DMTL Phase Shifters Design of high linear CMOS Mixer for 5G Applications A 350μW Low Noise Amplifier for IOT Applications Design and Simulation of Optical XNOR Logic Gate Based on MEMS Technology High Slew Rate Op-Amp Using LHP Zeroes
×
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