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

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

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

    5 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 Institute of Electrical and Electronic Engineers
    Pages1-4
    ISBN (Electronic)978-1-5090-1348-7
    DOIs
    Publication statusPublished - 30 Jun 2016
    MoE publication typeA4 Article in a conference publication
    Event2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applications - Aalto University, Espoo, Finland
    Duration: 6 Jun 20168 Jun 2016

    Conference

    Conference2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applications
    Abbreviated titleGSMM 2016
    CountryFinland
    CityEspoo
    Period6/06/168/06/16
    OtherThe main theme of the joint conference is MILLIMETER-WAVE AND TERAHERTZ SENSING AND COMMUNICATIONS. It covers millimeterwave and THz antennas, circuits, devices, systems and applications.

    Fingerprint

    respiration
    Radar systems
    radar
    Radar
    Pulse repetition rate
    Intrusion detection
    Electric power utilization
    Lighting
    Switches
    pulse repetition rate
    Hardware
    Data storage equipment
    illuminating
    central processing units
    monitors
    hardware
    switches
    computer programs
    interference
    sensitivity

    Keywords

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

    Cite this

    Kiuru, T., Metso, M., Jardak, S., Pursula, P., Hakli, 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 (pp. 1-4). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/GSMM.2016.7500331
    Kiuru, Tero ; Metso, Mikko ; Jardak, Seifallah ; Pursula, Pekka ; Hakli, Janne ; Hirvonen, Mervi ; Sepponen, Raimo. / Movement and respiration detection using statistical properties of the FMCW radar signal. 2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applications. IEEE Institute of Electrical and Electronic Engineers , 2016. pp. 1-4
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    title = "Movement and respiration detection using statistical properties of the FMCW radar signal",
    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.",
    keywords = "FMCW, intrusion detection, Radar, respiration detection, smart lighting",
    author = "Tero Kiuru and Mikko Metso and Seifallah Jardak and Pekka Pursula and Janne Hakli and Mervi Hirvonen and Raimo Sepponen",
    year = "2016",
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    Kiuru, T, Metso, M, Jardak, S, Pursula, P, Hakli, 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. IEEE Institute of Electrical and Electronic Engineers , pp. 1-4, 2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applications, Espoo, Finland, 6/06/16. https://doi.org/10.1109/GSMM.2016.7500331

    Movement and respiration detection using statistical properties of the FMCW radar signal. / Kiuru, Tero; Metso, Mikko; Jardak, Seifallah; Pursula, Pekka; Hakli, Janne; Hirvonen, Mervi; Sepponen, Raimo.

    2016 Global Symposium on Millimeter Waves, GSMM 2016 and ESA Workshop on Millimetre-Wave Technology and Applications. IEEE Institute of Electrical and Electronic Engineers , 2016. p. 1-4.

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

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    AU - Metso, Mikko

    AU - Jardak, Seifallah

    AU - Pursula, Pekka

    AU - Hakli, Janne

    AU - Hirvonen, Mervi

    AU - Sepponen, Raimo

    PY - 2016/6/30

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    N2 - 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.

    AB - 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.

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    KW - intrusion detection

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    KW - smart lighting

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    Kiuru T, Metso M, Jardak S, Pursula P, Hakli J, Hirvonen M et al. 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. IEEE Institute of Electrical and Electronic Engineers . 2016. p. 1-4 https://doi.org/10.1109/GSMM.2016.7500331