• DocumentCode
    2051616
  • Title

    A comparison of nonparametric statistics for multiple-channel detection of signals in ocean noise

  • Author

    Cochran, Douglas ; Sinno, Dana ; Gish, Herbert

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    3685
  • Abstract
    The performance of nonparametric multiple-channel detectors based, respectively on the multiple coherence estimate and the generalized coherence estimate in detecting broadband signals in simulated deep-ocean noise are evaluated and compared. Probabilities of detection estimated from simulations are plotted against probabilities of false alarm predicted theoretically from the distribution functions of the detection statistics under the assumption that the channels contain independent white noise. The actual false-alarm performance for both detection statistics in the presence of simulated ocean noise is seen to be significantly different from what is predicted theoretically for white noise. The common practice of establishing detection thresholds for coherence detectors by using theoretically predicted false alarm probabilities is thus shown to be of limited value when colored noise is involved
  • Keywords
    noise; signal detection; statistical analysis; broadband signal detection; colored noise; detection statistics; false alarm probabilities; false-alarm performance; independent white noise; multiple coherence estimate; multiple-channel detection; multiple-channel detectors; nonparametric statistics; simulated deep-ocean noise; white noise; Colored noise; Detectors; Distribution functions; Oceans; Predictive models; Probability; Signal detection; Statistical distributions; Statistics; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.151076
  • Filename
    151076