• DocumentCode
    3432697
  • Title

    Sinusoidal frequency modulation fourier transform and micro-Doppler spectrum estimation of vibrating vehicles

  • Author

    Bo Peng ; Xizhang Wei ; Bin Deng ; Kangle Li ; Haowen Chen ; Xiang Li

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • fDate
    6-10 July 2013
  • Firstpage
    626
  • Lastpage
    630
  • Abstract
    Vibration signature extraction and vehicle type identification are traditional aspirations in micro-Doppler domain. Radar echoes from vibrating targets can be modeled as frequency-modulated signals, with micro stochastic Doppler components in phase item. In this work, the sinusoidal frequency modulation Fourier transform (SFMFT) in sinusoidal frequency modulated signal space is proposed, which owns significant advantages in analyzing faint and complicate phase modulation signals. SFMFT provides a straightforward and effective approach to analyze the arbitrary frequency modulation signals. This method improves the estimate precision and reduces the requirement of radar working frequency band. Simulations of vibration spectrum extraction indicate the effectiveness of the model and method proposed in this work.
  • Keywords
    Fourier transforms; feature extraction; frequency modulation; phase modulation; road vehicle radar; vibrations; SFMFT; complicate phase modulation signal analysis; faint signal analysis; microDoppler spectrum estimation; microstochastic Doppler components; radar echoes; radar working frequency band; sinusoidal frequency modulated signal space; sinusoidal frequency modulation Fourier transform; vehicle type identification; vibrating vehicles; vibration signature extraction; vibration spectrum extraction; Doppler radar; Frequency modulation; Scattering; Spectral analysis; Vehicles; Vibrations; Sinusoidal Frequency Modulation Fourier Transform; micro-Doppler; sinusoidal frequency modulated signal space; time-frequency analysis; vibration spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2013.6625417
  • Filename
    6625417