Gepeng Zhang, Jiaming Yan, Hanqing Chen, Hong Hong, Heng Zhao, Chen Gu, Xiaohua Zhu, Changzhi Li
{"title":"基于相位解调的纯FMCW模式生命sar图像人体识别","authors":"Gepeng Zhang, Jiaming Yan, Hanqing Chen, Hong Hong, Heng Zhao, Chen Gu, Xiaohua Zhu, Changzhi Li","doi":"10.1109/mwsym.2019.8700958","DOIUrl":null,"url":null,"abstract":"Identifying vital-related signals from human targets in a single synthetic aperture radar (SAR) image processing is important but challenging for localization and rescue applications. Recently, hybrid-mode SAR was reported for human identification and localization by alternating a radar in both the interferometry and frequency-modulated continuous-wave (FMCW) modes. However, it increased system complexity and required doubling the scanning efforts. In this paper, a novel phase-demodulation based vital-SAR-imaging method with a portable radar in pure FMCW mode is proposed. The solution can identify human targets from the SAR image by extracting high-resolution breathing signals on a moving platform. Experiments have been con-ducted to demonstrate the accuracy and robustness of the pro-posed method.","PeriodicalId":6720,"journal":{"name":"2019 IEEE MTT-S International Microwave Symposium (IMS)","volume":"92 1","pages":"152-155"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Phase-demodulation based Human Identification for Vital-SAR-Imaging in Pure FMCW Mode\",\"authors\":\"Gepeng Zhang, Jiaming Yan, Hanqing Chen, Hong Hong, Heng Zhao, Chen Gu, Xiaohua Zhu, Changzhi Li\",\"doi\":\"10.1109/mwsym.2019.8700958\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Identifying vital-related signals from human targets in a single synthetic aperture radar (SAR) image processing is important but challenging for localization and rescue applications. Recently, hybrid-mode SAR was reported for human identification and localization by alternating a radar in both the interferometry and frequency-modulated continuous-wave (FMCW) modes. However, it increased system complexity and required doubling the scanning efforts. In this paper, a novel phase-demodulation based vital-SAR-imaging method with a portable radar in pure FMCW mode is proposed. The solution can identify human targets from the SAR image by extracting high-resolution breathing signals on a moving platform. Experiments have been con-ducted to demonstrate the accuracy and robustness of the pro-posed method.\",\"PeriodicalId\":6720,\"journal\":{\"name\":\"2019 IEEE MTT-S International Microwave Symposium (IMS)\",\"volume\":\"92 1\",\"pages\":\"152-155\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE MTT-S International Microwave Symposium (IMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/mwsym.2019.8700958\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE MTT-S International Microwave Symposium (IMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mwsym.2019.8700958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phase-demodulation based Human Identification for Vital-SAR-Imaging in Pure FMCW Mode
Identifying vital-related signals from human targets in a single synthetic aperture radar (SAR) image processing is important but challenging for localization and rescue applications. Recently, hybrid-mode SAR was reported for human identification and localization by alternating a radar in both the interferometry and frequency-modulated continuous-wave (FMCW) modes. However, it increased system complexity and required doubling the scanning efforts. In this paper, a novel phase-demodulation based vital-SAR-imaging method with a portable radar in pure FMCW mode is proposed. The solution can identify human targets from the SAR image by extracting high-resolution breathing signals on a moving platform. Experiments have been con-ducted to demonstrate the accuracy and robustness of the pro-posed method.