Skip to main content

Broadband High-Gain Beam-Scanning Antenna Array for Millimeter-Wave Applications

Mao, Chun-Xu, Gao, Steven, Wang, Yi (2017) Broadband High-Gain Beam-Scanning Antenna Array for Millimeter-Wave Applications. IEEE Transactions on Antennas and Propagation, 65 (9). pp. 4864-4868. ISSN 0018-926X. E-ISSN 1558-2221. (doi:10.1109/TAP.2017.2724640) (KAR id:62848)

PDF Author's Accepted Manuscript
Language: English
Download (894kB) Preview
[thumbnail of Broadband High-Gain Beam-Scanning Antenna Array for Millimeter-Wave Applications_CM.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


A novel method of achieving low-profile, broadband microstrip array antennas with high antenna gain is proposed for millimeter-wave (mm-wave) applications. The element employs a novel 3rd-order vertically coupled resonant structure that a U-slot resonator in the ground is used to couple with the feeding resonator and the radiating patch, simultaneously. This proposed structure can significantly improve the bandwidth and frequency selectivity without increasing the thickness of the antenna. Then, to achieve the subarray, a new wideband power divider with loaded resonators is employed, which can be used to further improve the bandwidth. To demonstrate the working schemes of broadside radiation and scanned beam, two 4 × 4 array antennas are implemented on the same board. Measured results agree well with the simulations, showing a wide bandwidth from 22 to 32 GHz (FBW = 37%) with the gain of around 19 dBi. The beam scanning array can realize a scanning angle of over 25 degrees over a broadband. In addition, due to the filtering features are integrated in the design, the proposed antenna could also reduce the complexity and potential cost of the frontends.

Item Type: Article
DOI/Identification number: 10.1109/TAP.2017.2724640
Uncontrolled keywords: Broadband, beam-switching, integration, filtering, antenna array, massive MIMO, 5G wireless communications
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Steven Gao
Date Deposited: 16 Aug 2017 08:52 UTC
Last Modified: 16 Feb 2021 13:47 UTC
Resource URI: (The current URI for this page, for reference purposes)
Gao, Steven:
  • Depositors only (login required):


Downloads per month over past year