• DocumentCode
    1845811
  • Title

    Envelope spectrum analysis of underwater target radiated noise based on harmonic wavelet

  • Author

    Lu Wang ; Bo Lei

  • Author_Institution
    Inst. of Acoust. Eng., Northwestern Polytech. Univ., Xi´an, China
  • Volume
    1
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    215
  • Lastpage
    218
  • Abstract
    Traditional methods can hardly extract the modulated information of underwater target radiated noise accurately. In this paper, a new analysis method of broadband noise envelope based on harmonic wavelet is proposed because it has advantages of band-pass filtering and Hilbert transform in the frequency domain. By using harmonic wavelet transformation, the target radiated noise will be decomposed with multi-resolution and high-precision, so that the frequency band which contains the strongest modulation will be obtained, and the modulated information can be demodulated easily. The experiment results of the oceanic signal show that, compared with the traditional envelope analysis methods, the proposed method can extract the modulated information of target radiated noise faster and more accurately, which will be helpful to improve the underwater target radiated noise signal detection and feature extraction.
  • Keywords
    Hilbert transforms; acoustic signal processing; band-pass filters; feature extraction; harmonic analysis; modulation; wavelet transforms; Hilbert transform; bandpass filtering; broadband noise envelope; envelope spectrum analysis; feature extraction; frequency band; frequency domain; harmonic wavelet transformation; modulated information; radiated noise signal detection; underwater target radiated noise; Envelop analysis; Harmonic wavelet transformation; High precision; Modulated information; Target radiated noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491638
  • Filename
    6491638