• DocumentCode
    1230633
  • Title

    An Inexact Newton-Based Approach to Microwave Imaging Within the Contrast Source Formulation

  • Author

    Bozza, Giovanni ; Pastorino, Matteo

  • Author_Institution
    Dept. of Electron. & Biophys. Eng., Univ. of Genoa, Genoa
  • Volume
    57
  • Issue
    4
  • fYear
    2009
  • fDate
    4/1/2009 12:00:00 AM
  • Firstpage
    1122
  • Lastpage
    1132
  • Abstract
    In this paper an approach to microwave imaging based on an inexact-Newton method within the contrast source formulation of the inverse scattering problem is considered. In this framework, the iteratively linearized equations of the inverse problem are solved by means of the regularizing truncated Landweber algorithm. This approach allows an effective and robust tool to inspect dielectric objects, as it is shown by the reported numerical results. Moreover, thanks to the structure of the involved integral equations within the contrast source formulation, computer memory saving can be obtained with respect to the electric field integral equation framework. Finally, the proposed method is validated against experimental data, kindly provided by the Institute Fresnel, Marseille, France.
  • Keywords
    electric field integral equations; electromagnetic wave scattering; iterative methods; microwave imaging; computer memory saving; contrast source formulation; dielectric objects; electric field integral equation; electromagnetic inverse scattering; inexact-Newton method; iteratively linearized equations; microwave imaging; truncated Landweber algorithm; Dielectrics; Geophysical measurements; Integral equations; Inverse problems; Iterative algorithms; Microwave imaging; Microwave theory and techniques; Newton method; Robustness; Scattering; Electromagnetic inverse scattering; Newton methods; contrast source formulation;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2009.2015820
  • Filename
    4812206