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

Tero Kiuru, Mikko Metso, Seifallah Jardak, Pekka Pursula, Janne Häkli, Mervi Hirvonen, Raimo Sepponen

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

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applications
PublisherIEEE
ISBN (Electronic)9781509013487
DOIs
Publication statusPublished - 27 Jun 2016
MoE publication typeA4 Article in a conference publication
Event9th Global Symposium on Millimeter-Waves (GSMM) & 7th ESA Workshop on Millimetre-Wave Technology and Applications - Aalto University, Espoo, Finland
Duration: 6 Jun 20168 Jun 2016
http://gsmm2016.aalto.fi/

Conference

Conference9th Global Symposium on Millimeter-Waves (GSMM) & 7th ESA Workshop on Millimetre-Wave Technology and Applications
Abbreviated titleGSMM
CountryFinland
CityEspoo
Period06/06/201608/06/2016
Internet address

Keywords

  • FMCW
  • intrusion detection
  • Radar
  • respiration detection
  • smart lighting

Fingerprint Dive into the research topics of 'Movement and respiration detection using statistical properties of the FMCW radar signal'. Together they form a unique fingerprint.

  • Cite this

    Kiuru, T., Metso, M., Jardak, S., Pursula, P., Häkli, J., Hirvonen, M., & Sepponen, R. (2016). Movement and respiration detection using statistical properties of the FMCW radar signal. In 2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applications [7500331] IEEE. https://doi.org/10.1109/GSMM.2016.7500331