Multiple Moving Targets Heartbeat Estimation and Recovery using Multi-Frequency Radars

Yu Rong, Kumar Vijay Mishra, Daniel W. Bliss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we present a novel non-contact and privacy preserving approach on recovering physiological measurements like heart rate when multiple subjects are slowly walking in the scene using a ultra-wideband (UWB) multi-frequency radar system. We employ joint probabilistic data association (JPDA) algorithm to separate detection from multiple moving objects. Additionally, we exploit a recently developed multi-channel variational mode decomposition (MVMD) algorithm to extract heartbeat information from the range aligned samples. Our contribution lies in demonstration the possibility of a novel signal processing approach on heartbeat detection while multiple human targets are moving on the order of a few meters with a relatively simple setup while prior works requires a more complex setting and only considers small body movement on centimeter levels.

Original languageEnglish (US)
Title of host publication2021 IEEE Radar Conference
Subtitle of host publicationRadar on the Move, RadarConf 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728176093
DOIs
StatePublished - May 7 2021
Event2021 IEEE Radar Conference, RadarConf 2021 - Atlanta, United States
Duration: May 8 2021May 14 2021

Publication series

NameIEEE National Radar Conference - Proceedings
Volume2021-May
ISSN (Print)1097-5659

Conference

Conference2021 IEEE Radar Conference, RadarConf 2021
Country/TerritoryUnited States
CityAtlanta
Period5/8/215/14/21

Keywords

  • Bio-radars
  • data association
  • remote sensing
  • tracking
  • vital sign detection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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