• DocumentCode
    1331882
  • Title

    Fast Solutions of the 2D Inverse Scattering Problem Based on a TSVD Approximation of the Internal Field for the Forward Model

  • Author

    Barrière, Paul-André ; Idier, Jérôme ; Goussard, Yves ; Laurin, Jean-Jacques

  • Volume
    58
  • Issue
    12
  • fYear
    2010
  • Firstpage
    4015
  • Lastpage
    4024
  • Abstract
    An alternative formulation of the microwave tomography problem is proposed, in order to reduce the computation time of the inversion procedure. The well-known multiplicative regularized contrast source inversion method is used as reference algorithm. Our formulation is based on a truncated singular value decomposition of the matrix involved in the most computationally intensive operations of the inversion algorithm. After theoretical and practical investigation of the behavior of the singular values, it is shown that the corresponding approximation does not yield any significant degradation of the quality of the solutions even for large complex permittivity contrasts, while the computation times are reduced by a factor ranging between 1.1 and 6 with respect to the original method.
  • Keywords
    approximation theory; electromagnetic wave scattering; inverse problems; matrix inversion; microwave imaging; singular value decomposition; tomography; 2D inverse scattering problem; TSVD approximation; complex permittivity contrast; forward model; internal field; matrix inversion; microwave tomography problem; multiplicative regularized contrast source inversion method; truncated singular value decomposition; Approximation algorithms; Approximation methods; Convolution; Microwave theory and techniques; Nonhomogeneous media; Tomography; Contrast source inversion; microwave tomography; nonlinear inversion; singular value decomposition;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2010.2078440
  • Filename
    5582241