Análise e síntese de superfícies seletivas de frequência bioinspiradas usando redes neurais para aplicações em sistemas de comunicação sem fio

Abstract

This work proposes the analysis of Bioinspired Frequency Selective Surfaces (BFSS) for applications in wireless systems, operating in the C band, Ku band and UWB (ultrawideband). Simple and coupled BFSS structures are considered. The BFSSs have array elements with the four-leaf clover-shaped and maple leaf-shaped, and presented dual-band response, with the operating frequencies in the C and Ku bands. For the development of BFSSs with the ultra-wideband, a cascade structure was developed, in which a FSS with elements with patches with the shape of square loops was coupled to the BFSSs. In addition, the four-leaf clover BFSS synthesis was developed using an artificial neural network with an architecture cascade feedforward and Bayesian regularization training algorithm to obtain the specifications of resonance frequency and respective desired bandwidths. The numerical values obtained by simulations for the projected prototypes were obtained by the ANSYS HFSS software. The prototypes were manufactured and the experimental characterization was performed, whose values were compared to simulation results, which showed good agreement.