Compact ultra-wideband FSS optimised through fast and accurate hybrid bio-inspired multiobjective technique

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.