Microwave imaging of two-dimensional perfectly conducting objects using real-coded genetic algorithm

The electromagnetic inverse scattering problem is a highly nonlinear and ill-posed one. It can be reformulated as an optimization problem. The cost function is often defined as the relative error between the measured scattered field and the computed scattered field or similar. A novel approach for microwave imaging of two-dimensional perfectly conducting objects in free space using a real-coded genetic algorithm is put forward in this paper. The method offers several advantages such as simplicity, versatility and robustness over the traditional imaging method. At the same time, this method is time-consuming.