• DocumentCode
    1552230
  • Title

    Simulations of GPR in dispersive media using a frequency-dependent PSTD algorithm

  • Author

    Liu, Qing Huo ; Fan, Guo-Xin

  • Author_Institution
    Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
  • Volume
    37
  • Issue
    5
  • fYear
    1999
  • fDate
    9/1/1999 12:00:00 AM
  • Firstpage
    2317
  • Lastpage
    2324
  • Abstract
    Recently an efficient pseudospectral time-domain (PSTD) algorithm has been developed to solve partial differential equations in computational electromagnetics and acoustics. It uses the fast Fourier transform (FFT) algorithm to approximate spatial derivatives, and the perfectly matched layer (PML) to eliminate the wraparound effect. Due to its high accuracy in the spatial derivatives, this method requires a significantly smaller number of unknowns than a conventional finite-difference time-domain (FDTD) method when solving large-scale problems. In this work, the authors further extend the PSTD algorithm to frequency-dependent media and apply the algorithm to simulate ground-penetrating radar (GPR) measurements in a dispersive Earth. The dispersion of the soil is treated by the recursive convolution approaches. The convergence property of the PSTD algorithm is investigated for the scattering of a dispersive cylinder. Multidimensional large-scale problems in GPR measurements are presented to demonstrate the efficiency of this frequency-dependent PSTD algorithm
  • Keywords
    buried object detection; dispersive media; geophysical techniques; radar theory; remote sensing by radar; terrain mapping; terrestrial electricity; GPR; algorithm; buried object detection; computational electromagnetics; dispersion; dispersive media; fast Fourier transform; frequency-dependent PSTD algorithm; frequency-dependent media; geoelectric method; geophysical measurement technique; ground-penetrating radar; land surface; partial differential equations; perfectly matched layer; pseudospectral time-domain; radar remote sensing; radar theory; recursive convolution; simulation; soil; terrain mapping; terrestrial electricity; Computational electromagnetics; Computational modeling; Dispersion; Finite difference methods; Frequency measurement; Ground penetrating radar; Large-scale systems; Partial differential equations; Soil measurements; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.789628
  • Filename
    789628