• DocumentCode
    1846590
  • Title

    Robust source detection in shallow water

  • Author

    Ephraty, A. ; Tabrikian, J. ; Messer, H.

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
  • Volume
    5
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    3705
  • Abstract
    It is not possible, in practice, to precisely model a complex propagation channel, such as shallow water. This lack of accuracy causes a deterioration in the performance of the optimal detector and motivates the search for sub-optimal detectors which are insensitive to uncertainties in the propagation model. We present a novel, robust detector, which measures the degree of spatial-stationarity of the received field, exploiting the fact that a signal propagating in a bounded channel induces non-spatial-stationarity. The performance of the proposed detector is evaluated using both simulated data and experimental data collected in the Mediterranean Sea. This performance is compared to those of three other detectors, employing different extents of prior information. It is shown that when the propagation channel is not completely known, as is the case of the experimental data, the novel detector outperforms the others. That is, this detector couples good performance with robustness to propagation uncertainties
  • Keywords
    acoustic signal detection; acoustic signal processing; oceanographic techniques; underwater sound; Mediterranean Sea; experimental data; nonspatial stationarity; optimal detector performance; propagation channel; propagation model; propagation uncertainties; robust source detection; shallow water; simulated data; spatial stationary received field; suboptimal detectors; Acoustic signal detection; Detectors; Noise robustness; Probability density function; Sea measurements; Sensor arrays; Signal detection; Testing; Uncertainty; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.604672
  • Filename
    604672