• DocumentCode
    1790748
  • Title

    A (CS)2 approach to inverse scattering

  • Author

    Bevacqua, M. ; Isernia, Tommaso ; Crocco, L. ; Di Donato, Loreto

  • Author_Institution
    DIIES, Univ. “Mediterranea” Reggio di Calabria, Reggio Calabria, Italy
  • fYear
    2014
  • fDate
    16-19 Nov. 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    An innovative approach exploiting the Compressive Sensing theory in the solution of the non linear inverse scattering problem is presented. In fact, the proposed approach tackles the inverse problem in its full non linearity by adopting a Contrast-Source Inversion method. In particular, the problem is formulated as a minimization of a proper functional into a convex set defined by the i1-norm of the unknown.
  • Keywords
    compressed sensing; convex programming; inverse problems; minimisation; CS2; compressive sensing theory; contrast-source inversion method; convex set; l1-norm; nonlinear inverse scattering problem; proper functional minimization; Antennas; Approximation methods; Compressed sensing; Image reconstruction; Inverse problems; Minimization; Scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antenna Measurements & Applications (CAMA), 2014 IEEE Conference on
  • Conference_Location
    Antibes Juan-les-Pins
  • Type

    conf

  • DOI
    10.1109/CAMA.2014.7003415
  • Filename
    7003415
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1790748