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A Novel Differentially-Fed Dual-Polarized Filtering Antenna for Base Station

Liu, Xuekang, Gao, Steven, Sanz-Izquierdo, Benito, Zhang, Haiwei (2022) A Novel Differentially-Fed Dual-Polarized Filtering Antenna for Base Station. In: International Workshop on Antenna Technology: Small Antennas and Novel Metamaterials, iWAT. . IEEE ISBN 978-1-66549-449-6. (doi:10.1109/iWAT54881.2022.9811033) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:103049)

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Language: English

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DOI for this version: 10.22024/UniKent/01.02.103049.3409049
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The theory, design and experiments of a wideband dual-polarized filtering antenna are presented. A novel technique, which combines the use of open loops, parasitic loop, and extended ground plane, is proposed to realize two upper band radiation nulls and a lower band radiation null. Thanks to these radiation nulls, the proposed antenna obtains a sharp cut-off at the edges of the operating band. To achieve wideband performance, another novel technique of exciting multiple resonant modes of the crossed dipoles and parasitic loop is proposed. The measured results demonstrate that this antenna achieves a wide impedance bandwidth from 1.7 to 3.01 GHz (56%), high isolation of 38dB, low cross-polarization within the working frequency band and also filtering performance. At 3.17 GHz, the gain of the antenna will drop rapidly to -18.1 dBi, which is 26.4 dB lower than the average in-band gain. These advantages make the proposed antenna a good candidate for base station applications.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/iWAT54881.2022.9811033
Additional information: For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: Engineering and Physical Sciences Research Council (
Huawei Technologies (United Kingdom) (
Depositing User: Xuekang Liu
Date Deposited: 28 Sep 2023 10:30 UTC
Last Modified: 16 Feb 2024 15:22 UTC
Resource URI: (The current URI for this page, for reference purposes)

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