• DocumentCode
    1038714
  • Title

    A reconstruction procedure for microwave nondestructive evaluation based on a numerically computed Green´s function

  • Author

    Caorsi, Salvatore ; Massa, Andrea ; Pastorino, Matteo ; Randazzo, Andrea ; Rosani, Andrea

  • Author_Institution
    Dept. of Electron., Univ. of Pavia, Italy
  • Volume
    53
  • Issue
    4
  • fYear
    2004
  • Firstpage
    987
  • Lastpage
    992
  • Abstract
    This paper describes a new microwave diagnostic tool for nondestructive evaluation. The approach, developed in the spatial domain, is based on the numerical computation of the inhomogeneous Green´s function in order to fully exploit all the available a priori information of the domain under test. The heavy reduction of the computational complexity of the proposed procedure (with respect to standard procedures based on the free-space Green´s function) is also achieved by means of a customized hybrid-coded genetic algorithm. In order to assess the effectiveness of the method, the results of several simulations are presented and discussed.
  • Keywords
    Green´s function methods; computational complexity; genetic algorithms; microwave imaging; microwave measurement; nondestructive testing; computational complexity; genetic algorithm; inhomogeneous Green function; microwave diagnostic tool; nondestructive evaluation; numerical computation; reconstruction procedure; spatial domain; Cost function; Genetic algorithms; Green´s function methods; Image reconstruction; Integral equations; Inverse problems; Nonlinear equations; Scattering; Testing; Tomography; Genetic algorithms; Green's function; imaging processing; imaging systems; material characterization;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2004.831446
  • Filename
    1315973