• DocumentCode
    3668229
  • Title

    A quadratic inverse model for RF tomography

  • Author

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

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, 60607
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The linear model provided by the Born approximation is frequently exploited in inverse scattering problems. Anyway, the limits of validity of the Born model can be extended by a quadratic approximation of the non-linear operator relating the scattered field data to the unknown object function. The aim of this contribution is to present a quadratic approach and describe its experimental validation regarding laboratory tests carried out in the case of dielectric objects. The results of the quadratic inverse approach are compared to the ones of the linear Born model; such a comparison highlights that the quadratic model yields superior reconstruction performance in terms of image focusing and artifact mitigation.
  • Keywords
    "Scattering","Approximation methods","Tomography","Image reconstruction","Mathematical model","Radio frequency","Antenna measurements"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Ground Penetrating Radar (IWAGPR), 2015 8th International Workshop on
  • Type

    conf

  • DOI
    10.1109/IWAGPR.2015.7292617
  • Filename
    7292617