Estudo de Superfícies Seletivas de Frequência com o Uso deInteligência Computacional

摘要

The main objective of this work is to optimize the performance of frequencyselective surfaces (FSS) composed of crossed dipole conducting patches. Theoptimization process is performed by determining proper values for the width of thecrossed dipoles and for the FSS array periodicity, while the length of the crossed dipolesis kept constant. Particularly, the objective is to determine values that provide widebandwidth using a search algorithm with representation in bioinspired real numbers.Typically FSS structures composed of patch elements are used for band rejectionfiltering applications. The FSS structures primarily act like filters depending on the typeof element chosen. The region of the electromagnetic spectrum chosen for this study isthe one that goes from 7 GHz to 12 GHz, which includes mostly the X-band. Thisfrequency band was chosen to allow the use of two X-band horn antennas, in the FSSmeasurement setup. The design of the FSS using the developed genetic algorithmallowed increasing the structure bandwidth