Jabbar, A. , Kazim, J. U. R. , Pang, Z., Abbasi, M. A. B., Abbasi, Q. and Imran, M. A. (2024) A wideband frequency beam-scanning antenna array for millimeter-wave industrial wireless sensing applications. IEEE Sensors Journal, (doi: 10.1109/JSEN.2024.3370135) (Early Online Publication)
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Abstract
The 57–71 GHz millimeter-wave (mmWave) Industrial, Scientific, and Medical (ISM) band holds significant potential for enhancing the performance of next-generation industrial wireless applications. This paper first presents the design and analysis of a compact and high-performance 8-element series-fed frequency beam-scanning array designed to cover the entire 21.87% fractional bandwidth of the 57–71 GHz ISM band. Using this as a subarray, a hybrid parallel-series feed topology is designed to construct a 64-element (8 × 8) planar array with high-gain directional beams. The planar array provides a peak measured gain of 20.12 dBi at 64 GHz and maintains a flat gain of over 19.23 dBi throughout the band, with a 1 dB gain bandwidth of 13 GHz. Its narrow directional beams provide an average half-power beamwidth of 9.7° and 11.78° in the elevation and azimuth planes, facilitating point-to-point mmWave connectivity and high-resolution beam scanning. The inherent phase variation of the series-fed topology is employed to produce a beamscanning range of 40° within the 57–71 GHz band, with a scan loss of less than 1 dB. The proposed array is a low-cost, and reproducible solution for seamless integration with V-band mmWave equipment, as elucidated through practical demonstration frameworks using mmWave power sensor and EK1HMC6350 evaluation board. The proposed array is well-suited for emerging industrial wireless sensing and imaging applications, and mmWave frequency scanning radars. Its versatility extends to various 60 GHz protocols such as IEEE 802.11ay, IEEE 802.11ad, IEEE 802.15.3c/d, WirelessHD, and other customized industrial protocols such as WirelessHP.
Item Type: | Articles |
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Status: | Early Online Publication |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Jabbar, Abdul and Imran, Professor Muhammad and Kazim, Jalil Ur Rehman and Abbasi, Professor Qammer |
Authors: | Jabbar, A., Kazim, J. U. R., Pang, Z., Abbasi, M. A. B., Abbasi, Q., and Imran, M. A. |
College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
Journal Name: | IEEE Sensors Journal |
Publisher: | IEEE |
ISSN: | 1530-437X |
ISSN (Online): | 1558-1748 |
Published Online: | 27 February 2024 |
Copyright Holders: | Copyright © 2024 Crown Copyright |
First Published: | First published in IEEE Sensors Journal 2024 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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