Phase-demodulation based Human Identification for Vital-SAR-Imaging in Pure FMCW Mode

Gepeng Zhang, Jiaming Yan, Hanqing Chen, Hong Hong, Heng Zhao, Chen Gu, Xiaohua Zhu, Changzhi Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publication2019 IEEE MTT-S International Microwave Symposium, IMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages152-155
Number of pages4
ISBN (Electronic)9781728113098
DOIs
StatePublished - Jun 2019
Event2019 IEEE MTT-S International Microwave Symposium, IMS 2019 - Boston, United States
Duration: Jun 2 2019Jun 7 2019

Publication series

NameIEEE MTT-S International Microwave Symposium Digest
Volume2019-June
ISSN (Print)0149-645X

Conference

Conference2019 IEEE MTT-S International Microwave Symposium, IMS 2019
CountryUnited States
CityBoston
Period06/2/1906/7/19

Keywords

  • FMCW radar
  • Synthetic aperture radar
  • human identification
  • vital signs

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