Electromagnetic inverse scattering of multiple two-dimensional perfectly conducting objects by the differential evolution strategy

Electromagnetic inverse scattering of multiple two-dimensional (2-D) perfectly conducting objects with transverse magnetic (TM) wave incidence by the differential evolution strategy (DES) is presented. The governing electric field integral equations for the scattering problem are expressed as surface integral over the cylinder contours. The cylinder contours are approximately represented by closed cubic B-splines local shape functions in local polar coordinate system. The inverse problem is to locate the cylinders and to reconstruct their shape with or without a priori knowledge of the number of cylinders. It is cast into an optimization problem and is solved using the DES. Both synthetic and real reconstructions are carried out. The reconstruction results agree with the true profiles very well. Comparison with the real-coded genetic algorithm has been carried out. It has been observed that the DES outperforms the real-coded genetic algorithm.

[1]  C. Chiu,et al.  Image reconstruction of a perfectly conducting cylinder by the genetic algorithm , 1996 .

[2]  Fengchao Xiao,et al.  Microwave Imaging of Perfectly Conducting Cylinders from Real Data by Micro Genetic Algorithm Coupled with Deterministic Method , 1998 .

[3]  Anyong Qing,et al.  Electromagnetic inverse scattering of two-dimensional perfectly conducting objects by real-coded genetic algorithm , 2001, IEEE Trans. Geosci. Remote. Sens..

[4]  Matteo Pastorino,et al.  Two-dimensional microwave imaging approach based on a genetic algorithm , 2000 .

[5]  Weng Cho Chew,et al.  Local shape function combined with genetic algorithm applied to inverse scattering for strips , 1997 .

[6]  A. Roger,et al.  Newton-Kantorovitch algorithm applied to an electromagnetic inverse problem , 1981 .

[7]  Anyong Qing Microwave imaging of parallel perfectly conducting cylinders , 2000, Int. J. Imaging Syst. Technol..

[8]  Roger F. Harrington,et al.  Field computation by moment methods , 1968 .

[9]  M. Saillard,et al.  Validation of 2d iNverse Scattering Algorithms From Multi-Frequency Experimental Data , 2000 .

[10]  Anyong Qing,et al.  Microwave imaging of two-dimensional perfectly conducting objects using real-coded genetic algorithm , 1998 .

[11]  W.C. Chew,et al.  Microwave imaging of multiple conducting cylinders using local shape functions , 1992, IEEE Microwave and Guided Wave Letters.

[12]  Improvement of inverse scattering results by combining TM- and TE-polarized probing waves using an iterative adaptation technique , 1999 .

[13]  Anyong Qing,et al.  An experimental study on electromagnetic inverse scattering of a perfectly conducting cylinder by using the real-coded genetic algorithm , 2001 .

[14]  Krzysztof A. Michalski,et al.  Electromagnetic imaging of circular–cylindrical conductors and tunnels using a differential evolution algorithm , 2000 .

[15]  M. Saillard,et al.  Special section: Testing inversion algorithms against experimental data , 2001 .