• DocumentCode
    3676229
  • Title

    Compressive sensing based approach for detection of human respiratory rate

  • Author

    Vinh Dang;Tuan Phan;Ozlem Kilic

  • Author_Institution
    Department of Electrical Engineering and Computer Science, The Catholic University of America, Washington, DC 20064, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    394
  • Lastpage
    395
  • Abstract
    In this paper, the non-invasive detection of human respiratory rate using a stepped-frequency continuous wave (SFCW) radar is addressed through the compressive sensing (CS) framework. Range profiles and the respiratory signatures are resolved using measurements at small numbers of randomly selected frequencies and slow-time samples. The performance of the proposed approach is evaluated through simulation results in terms of accuracy and efficiency.
  • Keywords
    "Doppler radar","Fourier transforms","Ultra wideband radar","Compressed sensing","Indexes","Frequency-domain analysis"
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/APS.2015.7304583
  • Filename
    7304583
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3676229