• DocumentCode
    1064666
  • Title

    Estimating Signal-to-Noise Ratio (SNR)

  • Author

    Bosworth, Bryan T. ; Bernecky, W. Robert ; Nickila, J.D. ; Adal, Berhane ; Carter, G.Clifford

  • Author_Institution
    Sonar Syst. Dept., Naval Undersea Warfare Center (NUWC), Newport, RI, USA
  • Volume
    33
  • Issue
    4
  • fYear
    2008
  • Firstpage
    414
  • Lastpage
    418
  • Abstract
    In many scientific studies involving evaluation of competing ocean engineering systems or the fundamental limits of system performance it is necessary to compare signal power with noise power; in particular, one needs to estimate the signal-to-noise ratio (SNR). SNR is important in the performance of detection and passive localization, where the bearing to an acoustic source is one parameter to be determined given acoustic signal waveforms received at two hydrophones. We provide a brief explanation of methods to estimate SNR. A discussion is included on the difficulty of this task both in theory and in practice. Simulation results are provided explicitly illustrating the difficulty in obtaining accurate estimates even under ideal conditions. This work has applicability to a wide variety of technical problems including the evaluation of the performance of passive localization techniques of interest to the ocean engineering community.
  • Keywords
    acoustic noise; acoustic signal processing; hydrophones; marine engineering; underwater sound; SNR; acoustic signal waveforms; acoustic source; detection performance; hydrophones; noise power; ocean engineering systems; passive localization; signal power; signal-to-noise ratio estimation;
  • fLanguage
    English
  • Journal_Title
    Oceanic Engineering, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0364-9059
  • Type

    jour

  • DOI
    10.1109/JOE.2008.2001780
  • Filename
    4749261