• DocumentCode
    654023
  • Title

    Gaussianity analysis of ambient noise in littoral tropical water

  • Author

    Shastri, R.K. ; Joshi, Yashwant V. ; Das, Aruneema

  • Author_Institution
    Vidya Pratishthan´s CoE, Univ. of Pune, Pune, India
  • fYear
    2013
  • fDate
    24-26 July 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The performance predictions for sonar assume a background of Gaussian noise, however, deviation from this assumption may generate false alarms. This paper attempts to find out whether the ambient noise in tropical waters of the western coast of Indian continental is Gaussian. Gaussianity is tested using graphical, numerical and verified using formal normality tests like Kolmogorov Smirnov (KS) test and Lilliefors (LF) test. Ambient noise recorded at 30 m of depth using passive sonar is found non-Gaussian. The percentage of Gaussianity is calculated periodically eight times over the day at an interval of one hour every five minutes recording. The effect of known noise sources like wind speed, tide height and temperature, on the percentage of Gaussianity, is found linear.
  • Keywords
    Gaussian noise; acoustic noise; ocean temperature; oceanographic regions; seawater; sonar; tides; underwater sound; wind; Gaussianity analysis; Gaussianity percentage; Indian continental; Kolmogorov Smirnov test; Lilliefors test; false alarms; formal normality tests; littoral tropical water; noise sources; nonGaussian ambient noise; passive sonar; sonar performance predictions; tide height; wind speed; Gaussian distribution; Noise; Ocean temperature; Sea measurements; Sensors; Sonar; Tides; Ambient Noise; Gaussianity; Hypothesis Testing; Littoral Water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics in Underwater Geosciences Symposium (RIO Acoustics), 2013 IEEE/OES
  • Conference_Location
    Rio de Janeiro
  • Type

    conf

  • DOI
    10.1109/RIOAcoustics.2013.6683977
  • Filename
    6683977