FMCW radar fall detection based on ISAR processing utilizing the properties of RCS, range, and Doppler

Zhengyu Peng, Jose Maria Munoz-Ferreras, Roberto Gomez-Garcia, Changzhi Li

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

21 Scopus citations

Abstract

Falls are among the leading causes of fatal and non-fatal injuries for seniors. For long-term non-contact detection of falls in home and nursing environments, a coherent frequency-modulated continuous-wave (FMCW) radar sensor is designed and tested. The coherence property of the developed FMCW radar helps to preserve the phase history of the signal detected from human subjects, and can thus obtain Doppler information based on inverse synthetic aperture radar (ISAR) imaging. By analyzing the changes of the radar cross-section (RCS), range, and Doppler on ISAR images during the movement of a subject, falls can be distinguished from normal activities. Experiments have been carried out to demonstrate and analyze the ISAR signature of actual fall incidents, which has been compared with that of an abrupt movement. Preliminary results have confirmed the ability of an FMCW radar to successfully detect fall events using ISAR imaging.

Original languageEnglish
Title of host publication2016 IEEE MTT-S International Microwave Symposium, IMS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509006984
DOIs
StatePublished - Aug 9 2016
Event2016 IEEE MTT-S International Microwave Symposium, IMS 2016 - San Francisco, United States
Duration: May 22 2016May 27 2016

Publication series

NameIEEE MTT-S International Microwave Symposium Digest
Volume2016-August
ISSN (Print)0149-645X

Conference

Conference2016 IEEE MTT-S International Microwave Symposium, IMS 2016
CountryUnited States
CitySan Francisco
Period05/22/1605/27/16

Keywords

  • Doppler
  • FMCW radar
  • ISAR
  • RCS
  • fall detection
  • health monitoring

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