• DocumentCode
    1444124
  • Title

    The hybrid extended Born approximation and CG-FFT method for electromagnetic induction problems

  • Author

    Liu, Qing Huo ; Zhang, Zhong Qing ; Xu, Xue Min

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • Volume
    39
  • Issue
    2
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    347
  • Lastpage
    355
  • Abstract
    The authors propose the hybridization of the extended Born approximation (EBA) with the conjugate-gradient fast Fourier transform (CG-FFT) method to improve the efficiency of numerical solution of electromagnetic induction problems. This combination improves the solution efficiency in two ways. First, using the FFT in the extended Born approximation decreases the computational cost of the conventional EBA method from O(N2) to O(N log2 N) arithmetic operations, where N is the number of unknowns in the problem. This approach, referred to as the FFT-EBA method, applies to problems with a fairly large contrast. Secondly, using the EBA as a partial preconditioner for the CG-FFT method increases the convergence speed of the conventional CG-FFT method. This second approach, referred to as the EBA-CGFFT method, is in principle applicable to all problems with a homogeneous background, but is particularly efficient for problems with a higher contrast. Numerical experiments suggest that the combination of these two methods is more accurate and more efficient for electromagnetic induction problems
  • Keywords
    buried object detection; electromagnetic induction; fast Fourier transforms; geophysical prospecting; geophysical techniques; radar applications; radar cross-sections; radar theory; remote sensing by radar; terrain mapping; terrestrial electricity; EM induction; buried object detection; conjugate-gradient fast Fourier transform; electromagnetic induction problem; geoelectric method; geophysical measurement technique; ground penetrating radar; hybrid extended Born approximation; land surface; numerical solution; prospecting; radar remote sensing; terrain mapping; terrestrial electricity; Approximation methods; Arithmetic; Computational efficiency; Convergence; Electromagnetic induction; Electromagnetic measurements; Fast Fourier transforms; Geophysical measurements; Integral equations; Scattering;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.905243
  • Filename
    905243