Image reconstruction for the partially immersed conductor by dynamic differential evolution

The application of one technique for the reconstruction of shape reconstruction of a metallic cylinder from scattered field measurements is studied in this paper. Considering that the microwave imaging is recast as a nonlinear optimization problem, a cost functional is defined by the norm of a difference between the measured scattered electric field and that calculated for an estimated the shape of metallic cylinder. Thus, the shape of metallic cylinder can be obtained by minimizing the cost function. In order to solve this inverse scattering problem, dynamic differential evolution (DDE) is employed. The technique has been tested in the case of simulated measurement contaminated by additive white Gaussian noise. Numerical results demonstrate that, even when the initial guess is far away from the exact one, good reconstruction can be obtained.