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Image Reconstruction of Dielectric Pipes by using Levenberg-Marquardt and Genetic Algorithm  

김정석 (삼성전자 무선사업부)
나정웅 (광주과학기술원)
Publication Information
Abstract
Several dielectric pipes buried in the lossy half space are reconstructed from the scattered fields measured along the interface between the air and the lossy ground. Iterative inversion method by using the hybrid optimization algorithm combining the genetic and the Levenberg-Marquardt algorithm enables us to find the positions, the sizes, and the medium parameters such as the permittivities and the conductivities of the buried pipes as well as those of the background lossy half space even when the dielectric pipes are close together. Illposedness of the inversion caused by the errors in the measured scattered fields are regularized by filtering the evanescent modes of the scattered fields out.
Keywords
Inverse Scattering; Boundary Element Method; Half Space; Optimization Algorithm;
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