Compact ultra‐wideband FSS optimised through fast and accurate hybrid bio‐inspired multiobjective technique
Miércio Cardoso de Alcântara Neto, Hélio Renato Oeiras Ferreira, Jasmine Araújo, Fabrício J. B. Barros, Alfrêdo Gomes Neto, Marina de Oliveira Alencar, Gervásio Protásio dos Santos Cavalcante
Abstract
In this study, a bioinspired computation (BIC) optimisation technique to synthesise the geometric dimensions of a lozenge‐shaped broadband frequency selective surface (FSS) for electromagnetic wave filtering in satellite communications systems, for the X (8–12 GHz) and Ku (12–18 GHz) bands, is presented. A hybrid BIC technique, that combines the general regression neural network with a multi‐objective flower pollination algorithm, is proposed. The objectives of the optimisation process consist of tuning the resonant frequency of the lozenge‐shaped FSS to 15.2 GHz and operating bandwidth to 8 GHz, characterising a broadband framework. The cutoff frequencies to control the operating frequency range of the FSS, referring to transmission coefficient in decibels (dB), were obtained at a threshold of −10 dB. The proposed lozenge‐shaped FSS, after optimisation of the geometrical dimensions of its unit cell, was fabricated on fiberglass substrate (FR4). The simulated and measured results show a good agreement.