• DocumentCode
    1765795
  • Title

    Experimental Validation of the Quadratic Forward Model for RF Tomography

  • Author

    Picco, Vittorio ; Gennarelli, Gianluca ; Negishi, Tadahiro ; Soldovieri, Francesco ; Erricolo, Danilo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
  • Volume
    12
  • Issue
    7
  • fYear
    2015
  • fDate
    42186
  • Firstpage
    1461
  • Lastpage
    1465
  • Abstract
    An effective way to solve the inverse scattering from dielectric objects relies on the Born approximation, which allows to linearize the problem and retrieve a qualitative reconstruction of the targets in terms of location and extent. The limits of the validity of the linear model can be extended by considering a quadratic approximation of the operator relating the scattered field data to the unknown object function. The use of the quadratic operator allows on the one hand to recover additional spatial variations of the object profile and on the other hand to mitigate the local minima (false solution) problem typically affecting nonlinear inversion methods. In this letter, we present an experimental validation of the quadratic inverse model for dielectric objects in free space. The data processing confirms that the tomographic images based on the quadratic model are better resolved compared to the ones provided by the inversion of the linear Born model.
  • Keywords
    dielectric bodies; electromagnetic wave scattering; radiofrequency imaging; tomography; Born approximation; RF tomography; dielectric objects; inverse scattering; linear Born model; linear model validity; operator quadratic approximation; quadratic forward model; quadratic operator; target qualitative reconstruction; tomographic images; unknown object function; Approximation methods; Image reconstruction; Inverse problems; Radio frequency; Scattering; Tomography; Born approximation; quadratic approximation; radio frequency (RF) tomography; radio frequency (RF)tomography;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2015.2409025
  • Filename
    7061440