• DocumentCode
    861967
  • Title

    Approximating the SNR value in detection problems

  • Author

    Hmam, Hatem

  • Author_Institution
    Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • Volume
    39
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1446
  • Lastpage
    1452
  • Abstract
    The inverse problem of finding the required signal-to-noise ratio (SNR) given a set of probability parameters and number of samples is a nontrivial problem. Several past attempts have proposed simple approximations for the SNR, but the achieved accuracy varied across the parameter space and was at times poor. The approximation equations proposed here are considerably more accurate over a larger parameter space.
  • Keywords
    approximation theory; inverse problems; parameter space methods; signal detection; SNR value; approximation equation; detection problem; inverse problem; parameter space; probability parameter; signal-to-noise ratio; Detectors; Equations; Fluctuations; Inverse problems; Matched filters; Mathematical model; Probability density function; Reflection; Signal processing; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2003.1261142
  • Filename
    1261142