面向低功耗节点上处理的现场可编程模拟ASIC

Lujie Wang, Juan Zhang, Jianghong Huang, Liangwen Chen, Li Yu, Yuan-Ting Zhang, Guang-Zong Yang
{"title":"面向低功耗节点上处理的现场可编程模拟ASIC","authors":"Lujie Wang, Juan Zhang, Jianghong Huang, Liangwen Chen, Li Yu, Yuan-Ting Zhang, Guang-Zong Yang","doi":"10.1109/BSN.2009.55","DOIUrl":null,"url":null,"abstract":"Modern microelectronics technologies play important roles in body sensor networks (BSN). In this paper a field programmable analogue ASIC working on the discrete-time mode for biomedical signal filtering was presented. The ASIC we have developed incorporates a switched-capacitor based analogue module, a current source, a voltage source, an oscillator, and a double-phase non-overlapping clock source offering different clock rates. By alternating the circuit topologies and the clock frequencies for the on-chip switched-capacitors the ASIC could be dynamically configured as a high-pass filter or a low-pass filter with adjustable cut-off frequencies and pass-band gains. The ASIC was fabricated using the SMIC 0.18um CMOS technology with a die size of 1.0mm×1.2mm and the power consumption of approximately 1.1 mW. The ASIC was fully tested and the results indicated that the ASIC performed as desired. In the future an autonomous Field Programmable Analogue Array ASIC will be developed towards intelligent processing-on-node BSNs.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Field Programmable Analogue ASIC towards Low Power Processing-on-Node BSNs\",\"authors\":\"Lujie Wang, Juan Zhang, Jianghong Huang, Liangwen Chen, Li Yu, Yuan-Ting Zhang, Guang-Zong Yang\",\"doi\":\"10.1109/BSN.2009.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern microelectronics technologies play important roles in body sensor networks (BSN). In this paper a field programmable analogue ASIC working on the discrete-time mode for biomedical signal filtering was presented. The ASIC we have developed incorporates a switched-capacitor based analogue module, a current source, a voltage source, an oscillator, and a double-phase non-overlapping clock source offering different clock rates. By alternating the circuit topologies and the clock frequencies for the on-chip switched-capacitors the ASIC could be dynamically configured as a high-pass filter or a low-pass filter with adjustable cut-off frequencies and pass-band gains. The ASIC was fabricated using the SMIC 0.18um CMOS technology with a die size of 1.0mm×1.2mm and the power consumption of approximately 1.1 mW. The ASIC was fully tested and the results indicated that the ASIC performed as desired. In the future an autonomous Field Programmable Analogue Array ASIC will be developed towards intelligent processing-on-node BSNs.\",\"PeriodicalId\":269861,\"journal\":{\"name\":\"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BSN.2009.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSN.2009.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

现代微电子技术在人体传感器网络(BSN)中发挥着重要作用。本文介绍了一种用于生物医学信号离散时间滤波的现场可编程模拟专用集成电路。我们开发的ASIC集成了一个基于开关电容的模拟模块、一个电流源、一个电压源、一个振荡器和一个提供不同时钟速率的双相非重叠时钟源。通过交换片上开关电容的电路拓扑和时钟频率,ASIC可以动态配置为具有可调截止频率和通带增益的高通滤波器或低通滤波器。ASIC采用中芯国际0.18um CMOS技术制造,芯片尺寸为1.0mm×1.2mm,功耗约为1.1 mW。对ASIC进行了全面测试,结果表明ASIC的性能符合预期。在未来,一种自主的现场可编程模拟阵列ASIC将朝着智能节点上处理bsn的方向发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Field Programmable Analogue ASIC towards Low Power Processing-on-Node BSNs
Modern microelectronics technologies play important roles in body sensor networks (BSN). In this paper a field programmable analogue ASIC working on the discrete-time mode for biomedical signal filtering was presented. The ASIC we have developed incorporates a switched-capacitor based analogue module, a current source, a voltage source, an oscillator, and a double-phase non-overlapping clock source offering different clock rates. By alternating the circuit topologies and the clock frequencies for the on-chip switched-capacitors the ASIC could be dynamically configured as a high-pass filter or a low-pass filter with adjustable cut-off frequencies and pass-band gains. The ASIC was fabricated using the SMIC 0.18um CMOS technology with a die size of 1.0mm×1.2mm and the power consumption of approximately 1.1 mW. The ASIC was fully tested and the results indicated that the ASIC performed as desired. In the future an autonomous Field Programmable Analogue Array ASIC will be developed towards intelligent processing-on-node BSNs.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信