Jiaming Yan, Heng Zhao, Yusheng Li, L. Sun, Hong Hong, Xiaohua Zhu
{"title":"Through-the-wall human respiration detection using impulse ultra-wide-band radar","authors":"Jiaming Yan, Heng Zhao, Yusheng Li, L. Sun, Hong Hong, Xiaohua Zhu","doi":"10.1109/BIOWIRELESS.2016.7445572","DOIUrl":null,"url":null,"abstract":"This paper addresses an ab-initio research of the human respiratory detection behind the reinforced concrete wall using the ultra-wide-band (UWB) radar, which can be used for battle field and victim search applications. The customized signal processing algorithms is applied and the impulse ultra-wide-band (UWB) radar system is employed to detect human respiration from different distances. The results show the accuracy and robustness of our system in through the reinforced concrete wall respiration detection from 0.7 m to 2.5 m.","PeriodicalId":154090,"journal":{"name":"2016 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOWIRELESS.2016.7445572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
This paper addresses an ab-initio research of the human respiratory detection behind the reinforced concrete wall using the ultra-wide-band (UWB) radar, which can be used for battle field and victim search applications. The customized signal processing algorithms is applied and the impulse ultra-wide-band (UWB) radar system is employed to detect human respiration from different distances. The results show the accuracy and robustness of our system in through the reinforced concrete wall respiration detection from 0.7 m to 2.5 m.
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