• DocumentCode
    2371754
  • Title

    Radar micro-motion feature extraction of cone target based on Hilbert-Huang transform

  • Author

    Niu, Jie ; Zhu, Yupeng ; Liu, Yongxiang ; Li, Xiang ; Kuang, Gangyao

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    401
  • Lastpage
    404
  • Abstract
    This paper studies on the cone target. Firstly, the modulating function of a precession target on the radar is analyzed. Then, the decomposition method of multi-component sinusoidal frequency modulated signal based on empirical mode decomposition (EMD) is studied. The instantaneous frequency of each intrinsic mode function is gained by using Hilbert Transform (HT). The precession features of precession period, precession angle, micro-motion range ratio of different scatters and geometry features are extracted. Finally, the results of feature extraction by utilizing the darkroom measurement are shown in figures, which validate the ideas.
  • Keywords
    FM radar; Hilbert transforms; feature extraction; radar theory; radar tracking; target tracking; Hilbert-Huang transform; cone target; dark room measurement; decomposition method; empirical mode decomposition; feature extraction; instantaneous frequency; intrinsic mode function; multicomponent sinusoidal frequency modulated signal; precession target; radar micromotion; Doppler effect; Doppler radar; Feature extraction; Scattering; Time frequency analysis; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2012 International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-1-4577-0343-0
  • Type

    conf

  • DOI
    10.1109/ICIST.2012.6221677
  • Filename
    6221677