Ultra Low-Power 2.5µW CMOS Implementation of a Mixed Analog-Digital Wake-Up System Based on Frequency Analysis

Manon Fourniol, V. Gies, V. Barchasz, E. Kussener, R. Vauché, H. Barthélemy, H. Glotin
{"title":"Ultra Low-Power 2.5µW CMOS Implementation of a Mixed Analog-Digital Wake-Up System Based on Frequency Analysis","authors":"Manon Fourniol, V. Gies, V. Barchasz, E. Kussener, R. Vauché, H. Barthélemy, H. Glotin","doi":"10.1109/NEWCAS50681.2021.9462746","DOIUrl":null,"url":null,"abstract":"An ultra low power acoustic wake-up detector based on high frequency signal analysis is presented in this paper. Focused on environmental or military Internet of Things (IoT) applications, it aims at detecting in real time the presence of specific animal species or drones for generating alerts and for triggering power consuming tasks such as high frequency signal recording only when needed.This wake-up detector continuously monitors the presence of specific frequencies in an analog acoustic signal, with a good frequency selectivity and a high frequency range detection capability. It is based on an ultra-low power analog frequency to voltage converter using a current-mirror, analog timers and synchronous comparators.Dedicated to long term stealth environmental or military surveys, a strong emphasis has been put on power consumption reduction in order to reduce batteries constraints. Its power consumption has been reduced to 2.5µW, leading to an autonomy of more than 28 years with a single coin cell CR2032 battery.","PeriodicalId":373745,"journal":{"name":"2021 19th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 19th IEEE International New Circuits and Systems Conference (NEWCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEWCAS50681.2021.9462746","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

An ultra low power acoustic wake-up detector based on high frequency signal analysis is presented in this paper. Focused on environmental or military Internet of Things (IoT) applications, it aims at detecting in real time the presence of specific animal species or drones for generating alerts and for triggering power consuming tasks such as high frequency signal recording only when needed.This wake-up detector continuously monitors the presence of specific frequencies in an analog acoustic signal, with a good frequency selectivity and a high frequency range detection capability. It is based on an ultra-low power analog frequency to voltage converter using a current-mirror, analog timers and synchronous comparators.Dedicated to long term stealth environmental or military surveys, a strong emphasis has been put on power consumption reduction in order to reduce batteries constraints. Its power consumption has been reduced to 2.5µW, leading to an autonomy of more than 28 years with a single coin cell CR2032 battery.
基于频率分析的模数混合唤醒系统的超低功耗2.5µW CMOS实现
提出了一种基于高频信号分析的超低功率声唤醒探测器。它专注于环境或军事物联网(IoT)应用,旨在实时检测特定动物物种或无人机的存在,以产生警报,并仅在需要时触发高频信号记录等功耗任务。该唤醒检测器连续监测模拟声信号中特定频率的存在,具有良好的频率选择性和高频率范围检测能力。它是基于超低功耗模拟频率到电压转换器,使用电流反射镜,模拟计时器和同步比较器。致力于长期隐身环境或军事调查,为了减少电池限制,重点放在降低功耗上。其功耗已降至2.5 μ W,使用单个纽扣电池CR2032电池可实现超过28年的自主性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信