Zhongyuan Fang, Liheng Lou, Kai Tang, Wensong Wang, Yuanjin Zheng
{"title":"边缘生命体征监测用cmos集成相干FMCW雷达传感器电路、天线与算法协同设计","authors":"Zhongyuan Fang, Liheng Lou, Kai Tang, Wensong Wang, Yuanjin Zheng","doi":"10.1109/IMBioC52515.2022.9790235","DOIUrl":null,"url":null,"abstract":"This paper presents a chip-based Ku-band coherent frequency modulated continuous wave (FMCW) radar sensing platform operating at the 15-GHz center frequency for realizing telemedicine and vital signs monitoring at the edge with the specifically designed antenna and interferometric phase analysis algorithm. A configurable chirp synthesizer is implemented with a direct digital synthesizer (DDS) for ensuring the chirp signal generation with high phase accuracy and excellent power efficiency. Empowered by the specifically designed antenna with high gain and phase-domain processing, accurate vital signs monitoring can be achieved. Fabricated in a 65-nm CMOS process, the prototype radar chip operates with smaller than 250-mW at a 1.2-V power supply, which ensured the low-power operation for long-term edge health status monitoring. Experiments on discerning vital signs were conducted based on the FMCW radar chip platform with a specific antenna and DE-10 edge processing unit. Further, the radar platform can be integrated into a more compact level with AI-based signal processing implemented on-chip to attain more efficient performance on multimodal health status monitoring at the edge with enhanced energy efficiency.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Circuit, Antenna, and Algorithm Co-Design of CMOS-Integrated Coherent FMCW Radar Sensor for Edge Vital Signs Monitoring\",\"authors\":\"Zhongyuan Fang, Liheng Lou, Kai Tang, Wensong Wang, Yuanjin Zheng\",\"doi\":\"10.1109/IMBioC52515.2022.9790235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a chip-based Ku-band coherent frequency modulated continuous wave (FMCW) radar sensing platform operating at the 15-GHz center frequency for realizing telemedicine and vital signs monitoring at the edge with the specifically designed antenna and interferometric phase analysis algorithm. A configurable chirp synthesizer is implemented with a direct digital synthesizer (DDS) for ensuring the chirp signal generation with high phase accuracy and excellent power efficiency. Empowered by the specifically designed antenna with high gain and phase-domain processing, accurate vital signs monitoring can be achieved. Fabricated in a 65-nm CMOS process, the prototype radar chip operates with smaller than 250-mW at a 1.2-V power supply, which ensured the low-power operation for long-term edge health status monitoring. Experiments on discerning vital signs were conducted based on the FMCW radar chip platform with a specific antenna and DE-10 edge processing unit. Further, the radar platform can be integrated into a more compact level with AI-based signal processing implemented on-chip to attain more efficient performance on multimodal health status monitoring at the edge with enhanced energy efficiency.\",\"PeriodicalId\":305829,\"journal\":{\"name\":\"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMBioC52515.2022.9790235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMBioC52515.2022.9790235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Circuit, Antenna, and Algorithm Co-Design of CMOS-Integrated Coherent FMCW Radar Sensor for Edge Vital Signs Monitoring
This paper presents a chip-based Ku-band coherent frequency modulated continuous wave (FMCW) radar sensing platform operating at the 15-GHz center frequency for realizing telemedicine and vital signs monitoring at the edge with the specifically designed antenna and interferometric phase analysis algorithm. A configurable chirp synthesizer is implemented with a direct digital synthesizer (DDS) for ensuring the chirp signal generation with high phase accuracy and excellent power efficiency. Empowered by the specifically designed antenna with high gain and phase-domain processing, accurate vital signs monitoring can be achieved. Fabricated in a 65-nm CMOS process, the prototype radar chip operates with smaller than 250-mW at a 1.2-V power supply, which ensured the low-power operation for long-term edge health status monitoring. Experiments on discerning vital signs were conducted based on the FMCW radar chip platform with a specific antenna and DE-10 edge processing unit. Further, the radar platform can be integrated into a more compact level with AI-based signal processing implemented on-chip to attain more efficient performance on multimodal health status monitoring at the edge with enhanced energy efficiency.