Roshani, Saeed and Yahya, Salah I. and Assaad, Maher and Chaudhary, Muhammad Akmal and Hazzazi, Fawwaz and Yasin Ghadi, Yazeed and Mostafaei, Saeed and Roshani, Sobhan (2024) Design of a Microwave Quadrature Hybrid Coupler with Harmonic Suppression Using Artificial Neural Networks. Active and Passive Electronic Components, 2024. pp. 1-15. ISSN 0882-7516
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Abstract
In this paper, a compact and simple structure of an elliptic microstrip lowpass filter (LPF) is designed for harmonic suppression in microwave quadrature hybrid coupler (QHC) applications. A radial resonator and a rectangular resonator are used to produce an elliptic LPF. The proposed LPF is used on the outer sides of the branch line coupler, which has improved the coupler harmonic suppression. Furthermore, artificial neural networks (ANNs) are incorporated to improve the LPF design process. The LPF best structure is obtained using the proposed ANN model. The proposed LPF has a compact size, which only occupies 16.4 mm × 7.3 mm equals to 0.164 λg × 0.073 λg, has a cut frequency of 2.2 GHz, and shows a sharp transmission band with a roll-off rate of 158.3 dB/GHz. Finally, the deigned QHC operates correctly at 1 GHz, which shows high harmonic suppression ability. The proposed QHC provides wide suppression band from 2.25 GHz up to more than 14 GHz, which can effectively suppress 3rd, to 14th harmonics. The proposed coupler features desirable parameters of S11, S21, S31, and S41, with magnitude of −21 dB, −3.4 dB, −3.3 dB, and −22.5 dB, at the operating frequency. The proposed approach mitigates the complexity of the circuit fabrication, compared with the previous methods while achieved desirable performances for the proposed QHC.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Microwave quadrature hybrid coupler, Harmonic suppression, Artificial neural networks (ANN), Microwave circuit design, Quadrature coupler optimization |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Department of Informatic and Software Engineering > Research papers |
| Depositing User: | ePrints Depositor |
| Date Deposited: | 19 Nov 2024 08:35 |
| Last Modified: | 19 Nov 2024 08:35 |
| URI: | https://eprints.cihanuniversity.edu.iq/id/eprint/2947 |
