Mao, Chun-Xu, Khalily, Mohsen, Xiao, Pei, Brown, Tim W., Gao, Steven (2019) Planar Sub-Millimeter-Wave Array Antenna with Enhanced Gain and Reduced Sidelobes for 5G Broadcast Applications. IEEE Transactions on Antennas and Propagation, 67 (1). pp. 160-168. ISSN 0018-926X. (doi:10.1109/TAP.2018.2874796) (KAR id:69283)
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Official URL: http://dx.doi.org/10.1109/TAP.2018.2874796 |
Abstract
In this paper, a compact, broadband, planar array
antenna with omnidirectional radiation in horizontal plane is
proposed for the 26 GHz fifth-generation (5G) broadcast
applications. The antenna element is composed of two dipoles and
a substrate integrated cavity (SIC) as the power splitter. The two
dipoles are placed side-by-side at both sides of the SIC and they
are compensated with each other to form an omni-directional
pattern in horizontal plane. By properly combing the resonant
frequencies of the dipoles and the SIC, a wide impedance
bandwidth from 24 to 29.5 GHz is achieved. To realize a large
array while reducing the complexity, loss and size of the feeding
network, a novel dual-port structure combined with radiation and
power splitting functions is proposed for the 1st time. The
amplitude and phase on each element of the array can be tuned,
and therefore, the grating lobes level can be significantly reduced.
Based on the dual-port structure, an 8-element array with an
enhanced gain of over 12 dBi is designed and prototyped. The
proposed antenna also features low profile, low weight and low
cost, which is desirable for 5G commercial applications. Measured
results agree well with the simulations, showing that the proposed
high-gain array antenna has a broad bandwidth, omni-directional
pattern in horizontal plane, and low side-lobes.
Item Type: | Article |
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DOI/Identification number: | 10.1109/TAP.2018.2874796 |
Uncontrolled keywords: | Antenna, Array, broadband, broadcast, millimeter-wave (mm-Wave), omni-directional, fifth-generation (5G) |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Steven Gao |
Date Deposited: | 27 Sep 2018 10:13 UTC |
Last Modified: | 05 Nov 2024 12:31 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/69283 (The current URI for this page, for reference purposes) |
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