Application of genetic algorithm on dielectric cylinder microwave imaging in free-space

The principle of genetic algorithms is introduced in the paper. The microwave tomography can be carried out by the genetic algorithm which can display the internal medium distribution without destructing its structure under detection. The finite element method is used to calculate the electromagnetic scattering value, and the inverse electromagnetic scattering imaging method is based on the idea of local shape function by which the imaging region is coded. Three genetic operators of selection, crossover and mutation are used during the genetic algorithm process to realize evolution process. An optimal result is sought finally by several iterates. The effectiveness and the superiority of this method are proved by simulation experiments, and the result is validating applicability.

I. Introduction

The main part of microwave imaging algorithm is to solve the problem of inverse electromagnetic scattering when microwave irradiate the medium, and rebuild the medium's internal complex dielectric permittivity image by measuring the data of its external scattering field[1]. Therefore, we can get some interesting information without damaging the scattering object, which has high practical value in non-destructive testing field. Now it's widely used in medical computed tomography, underground targets imaging, microwave remote sensing and so on [2]–[5].