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
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2004.831446