• DocumentCode
    1521125
  • Title

    Time-domain sensing of targets buried under a Gaussian, exponential, or fractal rough interface

  • Author

    Dogaru, Traian ; Carin, Lawrence

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • Volume
    39
  • Issue
    8
  • fYear
    2001
  • fDate
    8/1/2001 12:00:00 AM
  • Firstpage
    1807
  • Lastpage
    1819
  • Abstract
    The authors numerically examine subsurface sensing via an ultrawideband ground penetrating radar (GPR) system. The target is assumed to reside under a randomly rough air-ground interface and is illuminated by a pulsed plane wave. The underlying wave physics is addressed through application of the multiresolution time-domain (MRTD) algorithm. The scattered time-domain fields are parametrized as a random process and an optimal detection scheme is formulated, accounting for the clutter and target signature statistics. Detector performance is evaluated via receiver operating characteristics (ROCs) for variable sensor parameters (polarization and incident angle) and for several rough-surface statistical models
  • Keywords
    backscatter; buried object detection; geophysical techniques; radar clutter; radar cross-sections; radar theory; remote sensing by radar; rough surfaces; terrain mapping; terrestrial electricity; Gaussian interface; backscatter; buried object detection; clutter; exponential interface; fractal rough interface; geoelectric method; geophysical measurement technique; ground penetrating radar; land surface; multiresolution time domain algorithm; optimal detection; pulsed plane wave; radar remote sensing; radar scattering; random process; randomly rough air ground interface; receiver operating characteristics; subsurface sensing; target signature statistics; terrain mapping; terrestrial electricity; time domain; ultrawideband; Clutter; Detectors; Ground penetrating radar; Physics; Radar detection; Radar scattering; Random processes; Statistics; Time domain analysis; Ultra wideband technology;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.942559
  • Filename
    942559