• DocumentCode
    2532535
  • Title

    Detection of Underwater Acoustic Signal from Ship Noise Based on WPT Method

  • Author

    Chen, Sheng ; Zhang, Honghua

  • Author_Institution
    Sci. & Tech. on Underwater Acoust. Antagonizing Lab., ZhanJiang, China
  • fYear
    2011
  • fDate
    19-22 Oct. 2011
  • Firstpage
    324
  • Lastpage
    327
  • Abstract
    When detecting underwater acoustic signals, the ship noise is often treated as stationary stochastic noise. The traditional methods such as Fast Fourier transform (FFT) methods are not quite effective for the problem. In this paper, wavelet package transform (WPT) method is presented to solve that. The fractal characteristics of ship radiated noise are discussed. Some simulation examples are given for testing the performance of the proposed algorithm and the results show using WPT with rigrsure threshold selection, the ship noise is deleted well. Compared with traditional FFT method, WPT method owns better effectiveness on detecting signals from ship noise.
  • Keywords
    acoustic signal detection; fast Fourier transforms; wavelet transforms; WPT method; fast Fourier transform; fractal characteristic; rigrsure threshold selection; ship radiated noise; underwater acoustic signal detection; wavelet package transform; Fractals; Marine vehicles; Underwater acoustics; Wavelet transforms; White noise; de-noising; fractal noise; ship noise; wavelet package transform(WPT);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chaos-Fractals Theories and Applications (IWCFTA), 2011 Fourth International Workshop on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-1798-7
  • Type

    conf

  • DOI
    10.1109/IWCFTA.2011.27
  • Filename
    6093547