• DocumentCode
    290446
  • Title

    Detection of weak stochastic signals in non-Gaussian noise: a general result

  • Author

    Schultheiss, Peter M. ; Godara, Lal C.

  • Author_Institution
    Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
  • Volume
    iv
  • fYear
    1994
  • fDate
    19-22 Apr 1994
  • Abstract
    The paper studies the performance of a locally optimum detector namely, the generalized energy detector and shows that its performance starts to deteriorate as the signal to noise ratio increases beyond a certain level. The study has been carried out to cover a much broader class of signal and noise distributions than allowed in previous studies to conclude that the performance of the generalized energy detector can become poorer than that of the power detector well within the practical range of signal to noise ratios and the apparently large gains predicted by the asymptotic theory may not be reachable in practice
  • Keywords
    interference (signal); signal detection; stochastic systems; asymptotic theory; generalized energy detector; locally optimum detector; noise distributions; nonGaussian noise; performance; power detector; signal distributions; signal to noise ratio; weak stochastic signals; Additive noise; Australia; Detectors; Educational institutions; Independent component analysis; Performance gain; Probability density function; Random variables; Signal to noise ratio; Stochastic resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
  • Conference_Location
    Adelaide, SA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-1775-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1994.389806
  • Filename
    389806