Browsing by Author "Tarng J.-H."

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Citation - Scopus: 1
Low-Cost Aip Array Design Using Machine Learning for Mmwave Mobile Systems
(Institute of Electrical and Electronics Engineers Inc., 2021) Nakmouche M.F.; Idrees Magray M.; Allam A.M.M.A.; Fawzy D.E.; Lin D.B.; Tarng J.-H.
Based on low-cost PCB solution, an array antenna in packaging (AiP) dedicated for mmWave mobile systems is designed using machine learning. The proposed antenna operates at 28 GHz (26.5 - 29.5 GHz) with a gain ranging from 8 dB to 15 dB in the operating bandwidth. The development process of the proposed AiP is assisted by machine learning for prediction of the optimal radiating patch's length and width in terms of resonance frequency. © 2021 Taiwan Microwave Association.
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.
Citation - Scopus: 2
A Thin Dual Slot Based Offset-Fed Beam Tilted Mmwave 5g Aip Design
(Institute of Electrical and Electronics Engineers Inc., 2021) Magray M.I.; Farouk Nakmouche M.; Tarng J.-H.
This paper presents a low profile antenna-in-package design for mmWave 5G applications. Aperture coupled feeding is incorporated with microstrip line exciting the rectangular patch radiator via two slots. The dual slots are utilized for enhancing the impedance bandwidth of antenna. A physical offset is introduced in the dual slots that is mainly done for obtaining a beam tilt towards the end-fire direction. Shorting via walls are introduced between the patch radiator and ground plane for obtaining a much higher beam tilt. Moreover, shorting vias also aid in impedance matching. The proposed antenna is wideband attaining operational bandwidth from 26 to 29.5 GHz that accounts for fractional bandwidth of 12.6%. Also, peak gain of around 7 dBi is obtained for the available aperture. Beam tilting is mainly achieved for directing radiation beam away from the broadside to end-fire direction since end-fire antennas are feasible and preferred for 5G mobile applications. © 2021 Taiwan Microwave Association.