• DocumentCode
    67987
  • Title

    Microwave Imaging of a Slightly Varying 2-D Conducting Object Through Generalized Impedance Boundary Conditions

  • Author

    Aslanyurek, Birol ; Sahinturk, Hulya ; Cayoren, Mehmet

  • Author_Institution
    Dept. of Math. Eng., Yildiz Tech. Univ., Istanbul, Turkey
  • Volume
    11
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    1851
  • Lastpage
    1855
  • Abstract
    We consider reconstructing the shape of a perfect electric conducting object and developed a novel imaging method based on generalized impedance boundary conditions (GIBCs). The method relies on selecting a fictitious surface encircling the unknown object in which the surface impedance is reconstructed from the scattered field measurements. Later, the shape reconstruction problem is cast into an equivalent problem where the distance variation between the fictitious impedance surface and the unknown target is determined from the reconstructed surface impedance. Since the performance of the method depends on the selection of the impedance surface, we present a selection criterion according to the validity conditions of GIBCs. The method is capable of reconstructing both convex and concave structures whose shape deviates, at most, a tenth of the wavelength from the impedance surface, as demonstrated with numerical results.
  • Keywords
    microwave imaging; shape recognition; surface conductivity; surface impedance; GIBC; concave structures; convex structures; distance variation; fictitious surface; generalized impedance boundary conditions; impedance surface; microwave imaging; perfect electric conducting object; reconstructed surface impedance; scattered field measurements; selection criterion; shape reconstruction problem; slightly varying 2D conducting object; Boundary conditions; Image reconstruction; Impedance; Shape; Surface impedance; Surface reconstruction; Surface waves; Generalized impedance boundary conditions (GIBCs); inverse scattering problems; shape reconstruction;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2014.2311837
  • Filename
    6784312