Electromagnetic Imaging for a Conducting Cylinder Buried in a Slab Medium by the Genetic Algorithm

摘要

This article presents a computational approach to the imaging of a perfectly conducting cylinder buried in a slab. A conducting cylinder of unknown shape buried in a slab scatters the incident wave from outside. The scattered field is recorded outside the slab. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived, and the imaging problem is reformulated into an optimization problem. The genetic algorithm is then employed to determine global extreme solution of the cost function. Numerical results demonstrated that, even when the initial guess is far removed from the exact one, good reconstruction can be obtained. In such a case, the gradient-based methods often are trapped in a local extreme. In addition, the effect of Gaussian noise on the reconstruction is investigated.