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Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm

Miércio C. A. Neto et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · 2019

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Author / responsible party
Miércio C. A. Neto et al
Publisher
Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
Year
2019
ISSN
2179-1074
ISSN
2179-1074
Language
English

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Abstract In this work is presented a hybrid bioinspired optimization technique that associates a General Regression Neural Network (GRNN) with the Multiobjective Bat Algorithm (MOBA), for the design and synthesis of the Frequency Selective Surfaces (FSS), aiming its application in data communication systems by diffusion of millimeter waves, specifically, in the IEEE 802.15.3c standard. The designed device consists of planar arrangements of metallizations (patches), diamond-shaped, arranged over a RO4003 substrate. The FSS proposed in this study presents an operation with ultra-wide band characteristics, its patch designed to cover the range of 40.0 GHz at 70.0 GHz, i.e., 30.0 GHz bandwidth and 60.0 GHz resonance. The upper and lower cutoff frequencies, referring to the transmission coefficient's scattering matrix (dB), were obtained at the cutoff threshold at −10dB, to control the bandwidth of the device.

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APA 7

al, M. C. A. N. E. (2019). Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm. https://doi.org/10.1590/2179-10742019v18i41729

MLA

al, Miércio C. A. Neto et. "Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm." 2019. https://doi.org/10.1590/2179-10742019v18i41729.

Chicago

al, Miércio C. A. Neto et. 2019. "Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm.". https://doi.org/10.1590/2179-10742019v18i41729.

Harvard

al, M. C. A. N. E. 2019, Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm, Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo, available at: https://doi.org/10.1590/2179-10742019v18i41729 [Accessed 6 Aug. 2026].

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Title
Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm
Author / contributors
Miércio C. A. Neto et al
Publisher
Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
Publication year
2019
ISSN
2179-1074
ISSN
2179-1074
Language
English

Subjects

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hybrid technique; general regression neural network (GRNN); multiobjective bat algorithm (MOBA); Frequency Selective Surfaces (FSS)
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