A microwave imaging method for NDE/NDT based on the SMW technique for the electromagnetic field prediction

In the framework of nondestructive evaluation and testing (NDE/NDT), this paper presents an innovative tomographic microwave imaging approach based on the use of the Sherman-Morrison-Woodbury (SMW) updating formula for electric field computation. Starting from the integral forms of the inverse scattering equations, the problem of determining the presence of an unknown defect in a known host domain is recast into an optimization problem by defining a suitable cost function and reducing the problem unknowns only to the flaw "descriptors." By considering an effective inversion technique, the estimation of secondary unknowns (namely, the electric field distributions) is performed in a cost-effective way. Selected numerical results are presented to validate the approach, showing current potentialities and limitations. For completeness, an application to civil engineering is also reported.

[1]  Matteo Pastorino,et al.  Noninvasive imaging for the new century , 1999 .

[2]  Andrea Massa,et al.  Genetic Algorithm (GA) Based Techniques for 2D Microwave Inverse Scattering , 2002 .

[3]  A. Massa,et al.  Improved microwave imaging procedure for nondestructive evaluations of two-dimensional structures , 2004, IEEE Transactions on Antennas and Propagation.

[4]  Reza Zoughi,et al.  Microwave non-destructive testing and evaluation , 2000 .

[5]  A. Beck,et al.  The Theory of Electromagnetism , 1964 .

[6]  Matteo Pastorino,et al.  A global optimization technique for microwave nondestructive evaluation , 2002, IEEE Trans. Instrum. Meas..

[7]  V. Rahmat-Samii,et al.  Genetic algorithms in engineering electromagnetics , 1997 .

[8]  Andrea Massa,et al.  Genetic algorithms as applied to the numerical computation of electromagnetic scattering by weakly nonlinear dielectric cylinders , 1999 .

[9]  Matteo Pastorino,et al.  A computational technique based on a real-coded genetic algorithm for microwave imaging purposes , 2000, IEEE Trans. Geosci. Remote. Sens..

[10]  Paul M. Meaney,et al.  Microwaves for breast cancer detection , 2003 .

[11]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[12]  A. Massa,et al.  Reconstruction algorithms for electromagnetic imaging , 2002, IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276).

[13]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[14]  Matteo Pastorino,et al.  A microwave inverse scattering technique for image reconstruction based on a genetic algorithm , 2000, IEEE Trans. Instrum. Meas..

[15]  Matteo Pastorino,et al.  A crack identification microwave procedure based on a genetic algorithm for nondestructive testing , 2001 .

[16]  Andrea Massa,et al.  A reconstruction procedure for microwave nondestructive evaluation based on a numerically computed green's function , 2003, Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412).