Skip navigation

Broadband high-gain beam-scanning antenna array for millimeter-wave applications

Broadband high-gain beam-scanning antenna array for millimeter-wave applications

Mao, C., Gao, S. and Wang, Yi (2017) Broadband high-gain beam-scanning antenna array for millimeter-wave applications. IEEE Transactions on Antennas and Propagation (99). ISSN 0018-926X (Print), 1558-2221 (Online) (doi:10.1109/TAP.2017.2724640)

[img]
Preview
PDF (Author Accepted Manuscript)
17481 WANG_Broadband_High-Gain_Beam-Scanning_2017.pdf - Accepted Version

Download (877kB) | Preview

Abstract

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
Uncontrolled Keywords: Broadband, Beam scanning, Filtering, Millimeter-wave, Antenna array, Antenna, 5G
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Faculty of Engineering & Science > Future Technology and the Internet of Things
Related URLs:
Last Modified: 12 Sep 2017 10:35
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/17481

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics