• DocumentCode
    1019947
  • Title

    Two-channel tests for common non-Gaussian signal detection

  • Author

    Tugnait, J.K.

  • Author_Institution
    Dept. of Electr. Eng., Auburn Univ., AL, USA
  • Volume
    140
  • Issue
    6
  • fYear
    1993
  • fDate
    12/1/1993 12:00:00 AM
  • Firstpage
    343
  • Lastpage
    349
  • Abstract
    The problem of detecting an unknown, random, stationary, non-Gaussian signal that is common to two spatially separated sensors is considered. The signal is assumed to have a nonvanishing bispectrum. The measurement noise sequences at the two sensors are either mutually independent with arbitrary cumulant spectra, or dependent with vanishing bispectra. Two statistical tests are presented for signal detection when the noise statistics are unknown. The performance of the tests is illustrated by computer simulation examples
  • Keywords
    random processes; signal detection; spectral analysis; statistical analysis; computer simulation; cumulant spectra; measurement noise sequences; nonGaussian signal detection; nonvanishing bispectrum; random stationary signal; spatially separated sensors; two-channel statistical tests;
  • fLanguage
    English
  • Journal_Title
    Radar and Signal Processing, IEE Proceedings F
  • Publisher
    iet
  • ISSN
    0956-375X
  • Type

    jour

  • Filename
    260144