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Browsing by Author "Allam A.M."

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    Lte Wide Band Metamaterial Antenna
    (Institute of Physics Publishing, 2019) Ezzat M.A.M.K.; Allam A.M.; Fawzy D.E.
    This paper presents the effect of Metamaterials (MTMs) unit cells on the performance of LTE wide band antenna. It is a conventional rectangular patch antenna with dimension of 10 mm x 6 mm. It is implemented on FR-4 lossy substrate material with relative permittivity of ?r = 4.4, thickness of 1.6 mm and loss tangent of 0.025. It is feed through a microstrip line with dimension of 22 mm x 3 mm. The overall dimension of the antenna is 35 mm x 35 mm x 1.6 mm. It operates over a frequency band from 2.1914 GHz to 2.6802 GHz with central frequency 2.4392 GHz and 4.831 GHz to 5.5642 GHz with central frequency 5.1573 GHz. The simulated gain at frequency 5.1573 is 3.834 dBi. MTMs cells are supporting the truncated ground layer as it widens the band and increases the gain. The antenna ground layer is replaced with different unit cell configurations, truncated ground with different array of patches, truncated ground with array of Ring Resonator (RR), truncated ground with different array of patches with vias, truncated ground with array of RR with vias, and truncated mushroom grounded. The antenna is supported with MTMs conducts gain 5.6 dBi. The design is implemented through CST microwave studio and measured through network analyzer. © 2019 Published under licence by IOP Publishing Ltd.
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    Citation - Scopus: 7
    A Novel Dual-Band Printed Siw Antenna Design Based on Fishnet & Ccrr Dgs Using Machine Learning for Ku-Band Applications
    (Electromagnetics Academy, 2021) Nakmouche M.F.; Magray M.I.; Allam A.M.; Fawzy D.E.; Lin D.B.; Tarng J.-H.
    —This paper analyzes and solves the complexity to determine the optimum positions of the Fishnet & Complementary Circular Ring Resonator (CCRR) based Defected Ground Structures (DGS) for Substrate Integrated Waveguide (SIW) based antennas. A new state-of-art technique based on Artificial Neural Network (ANN)-Machine Learning (ML) is proposed for overcoming the lack of solid and standard formulations for the computation of this parameter related to a targeted frequency. As a proof of concept and to test the performance of our approach, the algorithm is applied for the determination of the CCRR and Fishnet-DGS’s optimal positions for a SIW based antenna. The SIW technique provides the advantages of low cost, small size, and convenient integration with planar circuits. The ANN-ML based technique is optimized to attain dual-band resonances with optimal gain and radiation efficiency. The simulation results of the first Fishnet-DGS based antenna show good minimum return losses at two center frequencies, namely, 16.6 GHz (with gain of 6 dB and radiation efficiency of 95%) and 17.7 GHz (with gain and radiation efficiency of 9 dB and 96%, respectively). The second CCRR-DGS based antenna shows about 8 dB gain and a radiation efficiency of 87% at 17.3 GHz, and gain and efficiency of about 8.5 dB and 85% are observed at 17.8 GHz. The proposed CCRR and Fishnet-DGS based antenna are low profiles, low costs, with good gains and radiation efficiencies, making both designs very suitable for Ku-band applications. There is a fair agreement between the measured and simulated results. The achieved dual-band resonances act as a proof of concept that the proposed ANN-ML techniques can be employed for the determination of the optimal positions for CCRR and Fishnet thereby attaining any target dual-bands in the Ku-band with good accuracy of about 98% and a save of 99% in the overall the computational time. © 2021, Electromagnetics Academy. All rights reserved.
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