• DocumentCode
    3064750
  • Title

    Separation of multiple Micro-Doppler components via parametric sparse recovery

  • Author

    Gang Li ; Rui Zhang ; Wei Rao ; Xiqin Wang

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2978
  • Lastpage
    2981
  • Abstract
    A method of Micro-Doppler component separation based on parametric sparse time-frequency representation is proposed in this paper. The received signal is decomposed into a family of parametric basis signals that are dependent of the target angular velocity, and the significant coefficients of the sparse solution indicate the initial phases and the Doppler amplitudes of Micro-Doppler components. The performance of the proposed method in terms of Micro-Doppler component separation is evaluated by simulations.
  • Keywords
    Doppler radar; radar signal processing; signal representation; multiple microDoppler component separation; parametric sparse recovery; parametric sparse time-frequency representation; target angular velocity; Algorithm design and analysis; Angular velocity; Doppler effect; Matching pursuit algorithms; Radar; Time-frequency analysis; Transforms; Compressed Sensing; Micro-Doppler; Parametric Sparse Recovery; Time-Frequency Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723451
  • Filename
    6723451