• DocumentCode
    2794136
  • Title

    On the use of time-frequency methods in a passive acoustic monitoring system

  • Author

    Gervaise, Cédric ; Stéphan, Yann ; Simard, Yvan

  • Author_Institution
    DTN Lab., ENSIETA, Brest, France
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    5646
  • Lastpage
    5649
  • Abstract
    A modern method for discrete underwater channel characterization is the passive tomography concept which takes advantage of the generated signals by the natural sources (opportunity sources). The main difficulty which appears in this field is due to the lack of any information about the received signals. In this paper, we present a method for underwater channel characterization, supposing that the received signal is a sum of shifted chirps, having the same chirp rate and start frequency. Hence, using the fractional Fourier transform, it is possible to express the received signal as a sum of sinusoids whose frequencies are directly related to the times of arrival. In order to distinguish the closed arrivals, we apply a high resolution spectral estimation method, providing also the time of arrivals.
  • Keywords
    Fourier transforms; acoustic signal processing; deconvolution; spectral analysis; time-frequency analysis; underwater sound; blind deconvolution; chirp frequency; discrete underwater channel characterization; fractional Fourier transform; passive acoustic monitoring system; shifted chirp signal; sinusoidal signal; spectral estimation method; time-frequency methods; Acoustic signal processing; Chirp; Deconvolution; Fourier transforms; Monitoring; Oceans; Spectral analysis; Time frequency analysis; Tomography; Underwater acoustics; Time-frequency analysis; spectral analysis; underwater acoustic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495262
  • Filename
    5495262