This paper presents an innovative microwave technique, which is suitable for the detection of defects in non-destructive-evaluation (NDT/NDE) applications where a lot of a-priori information is available. The proposed approach is based on the equations of the inverse scattering problem, which are solved by means of a minimization procedure based on a Genetic Algorithm (GA). To reduce the number of problem unknowns, the available a-priori information is efficiently exploited by introducing an updating procedure for the electric field computation based on the Sherman-Morrison-Woodbury (SWM) formula. The results of a representative set of numerical experiments as well as comparisons with state-of-the-art methods are reported. They confirm the effectiveness, the feasibility and the robustness of the proposed approach, which some interesting features by a computational point-of-view, as well.
Effective Exploitation of the a-priori Information through a Microwave Imaging Procedure Based on the Smw for Nde/Ndt Applications / Benedetti, Manuel; Donelli, Massimo; Franceschini, Gabriele; Pastorino, Matteo; Massa, Andrea. - ELETTRONICO. - (2005), pp. 1-32.
Effective Exploitation of the a-priori Information through a Microwave Imaging Procedure Based on the Smw for Nde/Ndt Applications
Benedetti, Manuel;Donelli, Massimo;Franceschini, Gabriele;Massa, Andrea
2005-01-01
Abstract
This paper presents an innovative microwave technique, which is suitable for the detection of defects in non-destructive-evaluation (NDT/NDE) applications where a lot of a-priori information is available. The proposed approach is based on the equations of the inverse scattering problem, which are solved by means of a minimization procedure based on a Genetic Algorithm (GA). To reduce the number of problem unknowns, the available a-priori information is efficiently exploited by introducing an updating procedure for the electric field computation based on the Sherman-Morrison-Woodbury (SWM) formula. The results of a representative set of numerical experiments as well as comparisons with state-of-the-art methods are reported. They confirm the effectiveness, the feasibility and the robustness of the proposed approach, which some interesting features by a computational point-of-view, as well.File | Dimensione | Formato | |
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