Movement and respiration detection using statistical properties of the FMCW radar signal

Handle URI:
http://hdl.handle.net/10754/621279
Title:
Movement and respiration detection using statistical properties of the FMCW radar signal
Authors:
Kiuru, Tero; Metso, Mikko; Jardak, Seifallah; Pursula, Pekka; Hakli, Janne; Hirvonen, Mervi; Sepponen, Raimo
Abstract:
This paper presents a 24 GHz FMCW radar system for detection of movement and respiration using change in the statistical properties of the received radar signal, both amplitude and phase. We present the hardware and software segments of the radar system as well as algorithms with measurement results for two distinct use-cases: 1. FMCW radar as a respiration monitor and 2. a dual-use of the same radar system for smart lighting and intrusion detection. By using change in statistical properties of the signal for detection, several system parameters can be relaxed, including, for example, pulse repetition rate, power consumption, computational load, processor speed, and memory space. We will also demonstrate, that the capability to switch between received signal strength and phase difference enables dual-use cases with one requiring extreme sensitivity to movement and the other robustness against small sources of interference. © 2016 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Kiuru T, Metso M, Jardak S, Pursula P, Hakli J, et al. (2016) Movement and respiration detection using statistical properties of the FMCW radar signal. 2016 Global Symposium on Millimeter Waves (GSMM) & ESA Workshop on Millimetre-Wave Technology and Applications. Available: http://dx.doi.org/10.1109/GSMM.2016.7500331.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 Global Symposium on Millimeter Waves (GSMM) & ESA Workshop on Millimetre-Wave Technology and Applications
Conference/Event name:
2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applications
Issue Date:
26-Jul-2016
DOI:
10.1109/GSMM.2016.7500331
Type:
Conference Paper
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKiuru, Teroen
dc.contributor.authorMetso, Mikkoen
dc.contributor.authorJardak, Seifallahen
dc.contributor.authorPursula, Pekkaen
dc.contributor.authorHakli, Janneen
dc.contributor.authorHirvonen, Mervien
dc.contributor.authorSepponen, Raimoen
dc.date.accessioned2016-11-03T06:56:42Z-
dc.date.available2016-11-03T06:56:42Z-
dc.date.issued2016-07-26en
dc.identifier.citationKiuru T, Metso M, Jardak S, Pursula P, Hakli J, et al. (2016) Movement and respiration detection using statistical properties of the FMCW radar signal. 2016 Global Symposium on Millimeter Waves (GSMM) & ESA Workshop on Millimetre-Wave Technology and Applications. Available: http://dx.doi.org/10.1109/GSMM.2016.7500331.en
dc.identifier.doi10.1109/GSMM.2016.7500331en
dc.identifier.urihttp://hdl.handle.net/10754/621279-
dc.description.abstractThis paper presents a 24 GHz FMCW radar system for detection of movement and respiration using change in the statistical properties of the received radar signal, both amplitude and phase. We present the hardware and software segments of the radar system as well as algorithms with measurement results for two distinct use-cases: 1. FMCW radar as a respiration monitor and 2. a dual-use of the same radar system for smart lighting and intrusion detection. By using change in statistical properties of the signal for detection, several system parameters can be relaxed, including, for example, pulse repetition rate, power consumption, computational load, processor speed, and memory space. We will also demonstrate, that the capability to switch between received signal strength and phase difference enables dual-use cases with one requiring extreme sensitivity to movement and the other robustness against small sources of interference. © 2016 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectFMCWen
dc.titleMovement and respiration detection using statistical properties of the FMCW radar signalen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2016 Global Symposium on Millimeter Waves (GSMM) & ESA Workshop on Millimetre-Wave Technology and Applicationsen
dc.conference.date6 June 2016 through 8 June 2016en
dc.conference.name2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applicationsen
dc.contributor.institutionVTT Technical Research Centre of Finland Ltd., Espoo, Finlanden
dc.contributor.institutionAalto University, School of Electrical Engineering, Espoo, Finlanden
kaust.authorJardak, Seifallahen
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