1. Tri-Band, Stable and Compact Patch Frequency Selective Surface Optimized via Hybrid Bioinspired Computing for Applications at 2.4, 3.5 and 5.8 GHz.
- Author
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Ferreira, Flávio H. C. S., Araújo, Jasmine P. L., Neto, Alfredo Gomes, Coutinho, Ianes B. G., Barros, Fabrício J. B., Cavalcante, Gervásio P. S., and de Alcântara Neto, Miércio C.
- Subjects
FREQUENCY selective surfaces ,REFERENCE values ,WIRELESS Internet ,SEARCH algorithms ,EPOXY coatings - Abstract
This work addresses the synthesis of a multi-band frequency selective surface (FSS) through bioinspired computing and a general regression neural network (GRNN). This hybrid computational method, which utilizes the multi-objective cuckoo search algorithm combined to a GRNN, determine the best physical dimensions of the FSS in order to achieve a multi-band filtering at the 2.4, 3.5 and 5.8 GHz spectrums. Therefore, the results are to be applied to aid the propagation of Wi-Fi, WLAN, WiMAX and future sub-6 GHz 5G systems. The resonant frequencies were measured and a -10 dB cutoff value has been considered for the transmission coefficient. The triple rectangular loop conductor geometry of the device is printed upon a glass epoxy (FR-4) substrate. Measurements were made for different wave incidence angles, from 0° up to 45°, to demonstrate how signal incidence would affect the device's functioning. The agreement between simulated and measured data display satisfactory results. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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