Malik, BT orcid.org/0000-0003-2832-531X, Doychinov, V, Zaidi, SAR et al. (2 more authors) (2019) Antenna Gain Enhancement by Using Low-Infill 3D-Printed Dielectric Lens Antennas. IEEE Access, 7. pp. 102467-102476. ISSN 2169-3536
Abstract
This paper reports on the design and three-dimensional (3D) integration of low-cost, low-loss and easy-to-fabricate 3D-printed Integrated Lens Antennas (ILAs) for 5G broadband wireless communications in the 28 GHz range. The ILA designs consist of extended hemispherical lens, fed by two different types of source antennas - a substrate integrated waveguide (SIW) slot antenna array and a microstrip patch antenna (MPA) array. Comprehensive parametric analyses of the infill pattern density of the 3D printed dielectric lenses are also intensively investigated and characterized for their electromagnetic properties e.g. electric-field distribution. The ILAs are designed by using Polylactic Acid (PLA) as the fused deposition modelling (FDM) polymer with an optimized infill density of 50%, which speeds up prototyping time and decreases the relative permittivity, dielectric loss, manufacturing cost and mass of the lens. These features are illustrated through experimental verification and characterization of at least three samples. From the measurement results, the ILAs achieve a fractional bandwidth of 10.7%, ranging from 26.5 GHz to 29.4 GHz with the maximum gain of 15.6 dBi at 0° and half power beam-width of approximately 58° and 75° on the E and H plan, respectively.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | 5G; Integrated Lens Antennas; 3D Printed; Millimeter-wave Antennas; Microstrip Patch Antennas (MPA); Substrate Integrated Waveguide (SIW) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/N010523/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Jul 2019 14:33 |
Last Modified: | 25 Jun 2023 21:55 |
Published Version: | https://www.ieee.org/ |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Identification Number: | 10.1109/ACCESS.2019.2931772 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148831 |