{"title":"基于全相位FFT的FMCW毫米波雷达生命体征提取","authors":"Xin Liu, Xiuping Li, Jianpeng Wang","doi":"10.23919/apmc55665.2022.9999790","DOIUrl":null,"url":null,"abstract":"This paper focus on the application of all-phase fast fourier transform(apFFT) for noncontact vital signs based on frequency modulated continuous wave(FMCW) radar. The principle of FMCW using fast fourier transform(FFT) to extract phase is briefly described. A more accurate vital sign extraction algorithm based on apFFT is proposed and compared with traditional FFT. The experimental results demonstrate that when the planar target produces an unavoidable random body movement(RBM), apFFT is better than FFT in extracting vital sign signals.","PeriodicalId":219307,"journal":{"name":"2022 Asia-Pacific Microwave Conference (APMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extraction of Vital Signs from FMCW Millimeter Wave Radar Based on All-phase FFT\",\"authors\":\"Xin Liu, Xiuping Li, Jianpeng Wang\",\"doi\":\"10.23919/apmc55665.2022.9999790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focus on the application of all-phase fast fourier transform(apFFT) for noncontact vital signs based on frequency modulated continuous wave(FMCW) radar. The principle of FMCW using fast fourier transform(FFT) to extract phase is briefly described. A more accurate vital sign extraction algorithm based on apFFT is proposed and compared with traditional FFT. The experimental results demonstrate that when the planar target produces an unavoidable random body movement(RBM), apFFT is better than FFT in extracting vital sign signals.\",\"PeriodicalId\":219307,\"journal\":{\"name\":\"2022 Asia-Pacific Microwave Conference (APMC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Asia-Pacific Microwave Conference (APMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/apmc55665.2022.9999790\",\"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 Asia-Pacific Microwave Conference (APMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/apmc55665.2022.9999790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extraction of Vital Signs from FMCW Millimeter Wave Radar Based on All-phase FFT
This paper focus on the application of all-phase fast fourier transform(apFFT) for noncontact vital signs based on frequency modulated continuous wave(FMCW) radar. The principle of FMCW using fast fourier transform(FFT) to extract phase is briefly described. A more accurate vital sign extraction algorithm based on apFFT is proposed and compared with traditional FFT. The experimental results demonstrate that when the planar target produces an unavoidable random body movement(RBM), apFFT is better than FFT in extracting vital sign signals.