• DocumentCode
    3569796
  • Title

    Feature extraction of orbital shift frequency signal based on time-frequency analysis

  • Author

    Shenghua, Dai ; Peng, Yan

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
  • Volume
    4
  • fYear
    2011
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    Traditional signal analysing is difficult to meet the detection demands of Orbital shift frequency signals effectively. This paper proposes a new scheme on the basis of time-frequency analysis to detect the frequency-shift signals. After analyzing the acquirement and spectrum of the orbital signals, the spectrum refining algorithm based on under-rate sampling and ZFFT is put forward to improve the accuracy of low frequency. And then, the wavelet ridge line technique is used to calculate the upper and down side frequencies to achieve the signals´ feature extraction.
  • Keywords
    fast Fourier transforms; feature extraction; signal detection; signal sampling; spectral analysis; time-frequency analysis; wavelet transforms; ZFFT; detection demands; down side frequency; feature extraction; frequency-shift signals; orbital shift frequency signals; orbital signals; signal analysing; spectrum refining algorithm; time-frequency analysis; under-rate sampling; upper side frequency; wavelet ridge line technique; Feature extraction; Frequency shift keying; Time frequency analysis; Wavelet analysis; Wavelet transforms; ZFFT; frequency-shift signal; under-sampling; wavelet analysis; wavelet ridge line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5920922
  • Filename
    5920922