Zhongyuan Fang, Liheng Lou, Kai Tang, Ting Guo, Bo Chen, Yisheng Wang, Chuanshi Yang, Longjie Zhong, Yuanjin Zheng
{"title":"A Digital-Enhanced Interferometric Radar Sensor for Physiological Sign Monitoring","authors":"Zhongyuan Fang, Liheng Lou, Kai Tang, Ting Guo, Bo Chen, Yisheng Wang, Chuanshi Yang, Longjie Zhong, Yuanjin Zheng","doi":"10.1109/SOCC46988.2019.1570571644","DOIUrl":null,"url":null,"abstract":"A conceptual digital-enhanced chip-scale radar sensor is proposed in the paper, where a novel quadrature interferometric phase analysis algorithm is proposed to be leveraged to enhance the performance of a radar system on monitoring tiny physiological signs. The radar sensor has the potential to achieve localization on target subject and monitoring of multi-modal physiological signs through the interferometric phase analysis method. In-phase and quadrature templates are adaptively generated and correlated with the de-chirped signal at the receiver to extract the micro physiological signs, which is realized with the help of FPGA. Fabricated in a 65-nm CMOS technology, the prototype radar frontend of the system can demonstrate 1 GHz chirp bandwidth at a 1.2-V supply. The conceptual configurable radar system illustrates its capability on detecting various kinds of physiological signs.","PeriodicalId":253998,"journal":{"name":"2019 32nd IEEE International System-on-Chip Conference (SOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 32nd IEEE International System-on-Chip Conference (SOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCC46988.2019.1570571644","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
A conceptual digital-enhanced chip-scale radar sensor is proposed in the paper, where a novel quadrature interferometric phase analysis algorithm is proposed to be leveraged to enhance the performance of a radar system on monitoring tiny physiological signs. The radar sensor has the potential to achieve localization on target subject and monitoring of multi-modal physiological signs through the interferometric phase analysis method. In-phase and quadrature templates are adaptively generated and correlated with the de-chirped signal at the receiver to extract the micro physiological signs, which is realized with the help of FPGA. Fabricated in a 65-nm CMOS technology, the prototype radar frontend of the system can demonstrate 1 GHz chirp bandwidth at a 1.2-V supply. The conceptual configurable radar system illustrates its capability on detecting various kinds of physiological signs.