A Ku-band CMOS FMCW radar transceiver with ring oscillator based waveform generation for snowpack remote sensing

Yanghyo Kim, A. Tang, K. Liou, T. Painter, Mau-Chung Frank Chang
{"title":"A Ku-band CMOS FMCW radar transceiver with ring oscillator based waveform generation for snowpack remote sensing","authors":"Yanghyo Kim, A. Tang, K. Liou, T. Painter, Mau-Chung Frank Chang","doi":"10.1109/MWSYM.2017.8058659","DOIUrl":null,"url":null,"abstract":"This paper presents a Ku-band (14–16 GHz) CMOS frequency modulated continuous-wave (FMCW) radar transceiver developed to measure snow depth for water management purposes and to aid in retrieval of snow water equivalent (SWE). An on-chip direct digital frequency synthesizer (DDFS) and digital-to-analog converter (DAC) digitally generates the chirping waveform which then drives a ring oscillator based Ku-Band phase-locked loop (PLL) to provide the final Ku-band FMCW signal. Employing a ring oscillator as oppose to a tuned inductor based oscillator (LC-VCO) allows the radar to achieve wider chirp bandwidth resulting in a higher axial resolution (7.5cm) which is needed to accurately quantify the snowpack profile. The demonstrated radar chip is fabricated in a 65nm CMOS process, and it consumes 250mW of power under 1.1V supply, making its payload requirements suitable for observations from a small UAV.","PeriodicalId":6481,"journal":{"name":"2017 IEEE MTT-S International Microwave Symposium (IMS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE MTT-S International Microwave Symposium (IMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSYM.2017.8058659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

This paper presents a Ku-band (14–16 GHz) CMOS frequency modulated continuous-wave (FMCW) radar transceiver developed to measure snow depth for water management purposes and to aid in retrieval of snow water equivalent (SWE). An on-chip direct digital frequency synthesizer (DDFS) and digital-to-analog converter (DAC) digitally generates the chirping waveform which then drives a ring oscillator based Ku-Band phase-locked loop (PLL) to provide the final Ku-band FMCW signal. Employing a ring oscillator as oppose to a tuned inductor based oscillator (LC-VCO) allows the radar to achieve wider chirp bandwidth resulting in a higher axial resolution (7.5cm) which is needed to accurately quantify the snowpack profile. The demonstrated radar chip is fabricated in a 65nm CMOS process, and it consumes 250mW of power under 1.1V supply, making its payload requirements suitable for observations from a small UAV.
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
基于环形振荡器波形产生的ku波段CMOS FMCW雷达收发器用于积雪遥感
本文提出了一种ku波段(14-16 GHz) CMOS调频连续波(FMCW)雷达收发器,用于测量雪深,用于水管理目的,并有助于检索雪水当量(SWE)。片上直接数字频率合成器(DDFS)和数模转换器(DAC)以数字方式产生啁啾波形,然后驱动基于ku波段锁相环(PLL)的环形振荡器提供最终的ku波段FMCW信号。采用环形振荡器,而不是基于调谐电感的振荡器(LC-VCO),可以使雷达获得更宽的啁啾带宽,从而获得更高的轴向分辨率(7.5cm),这是准确量化积雪剖面所需的。演示的雷达芯片采用65nm CMOS工艺制造,在1.1V电源下消耗250mW功率,使其有效载荷要求适合小型无人机的观测。
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
Microwave noninvasive blood glucose monitoring sensor: Human clinical trial results A Broadband Reconfigurable Load Modulated Balanced Amplifier (LMBA) Fast two dimensional position update system for UHF RFID tag tracking W-band phase shifter based on optimized optically controlled carbon nanotube layer Broadband LDMOS 40 W and 55 W integrated power amplifiers
×
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