• DocumentCode
    3275708
  • Title

    Empirical mode decomposition of micro-Doppler signature

  • Author

    Cai, Chengjie ; Liu, Weixian ; Fu, Jeffrey S. ; Lu, Lilong

  • Author_Institution
    Nanyang Technol. Univ., Singapore
  • fYear
    2005
  • fDate
    9-12 May 2005
  • Firstpage
    895
  • Lastpage
    899
  • Abstract
    Micro-Doppler induced by mechanical vibration or rotation of structures in a radar target is potentially useful for target detection, classification and recognition. In order to exploit the time-varying micro-Doppler signature, time frequency analysis techniques are used. However, they can not represent this useful information clearly all the time. In this paper, we introduce a novel algorithm to extract the micro-Doppler signature using a technique called empirical mode decomposition. Both simulation and the experimental results indicate that EMD provides us an effective way to give better time frequency representation of the micro-Doppler signature.
  • Keywords
    Doppler radar; radar detection; radar signal processing; radar target recognition; time-frequency analysis; vibrations; EMD; empirical mode decomposition; mechanical vibration; radar target; target classification; target detection; target recognition; time frequency analysis techniques; time-varying microDoppler signature; Data mining; Doppler radar; Helicopters; Object detection; Radar antennas; Rotors; Spline; Target recognition; Time frequency analysis; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2005 IEEE International
  • Print_ISBN
    0-7803-8881-X
  • Type

    conf

  • DOI
    10.1109/RADAR.2005.1435954
  • Filename
    1435954