An Amplitude Distribution Network in the T/R Module for Beamforming Applications

Tan, M. C. , Li, D., Abbasi, Q. H. and Imran, M. (2021) An Amplitude Distribution Network in the T/R Module for Beamforming Applications. In: 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, Montréal, QC, Canada, 05-10 Jul 2020, pp. 1971-1972. ISBN 9781728166704 (doi:10.1109/IEEECONF35879.2020.9329728)

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Abstract

To catch up with the rapid technology changing trend in the smart antenna industry, the modular design approach is inevitable amongst the researchers and manufacturers to maintain their competitiveness in term of cost and technology adoption. In the smart antenna system, the modular approach has gained its popularity, particularly the building block such as transmit and receive (T/R) module which is complex and subjected to upgrade due to its components upgrade and technology improvement over the time. Amplitude Distribution in the beamforming antenna array system is crucial to achieve the optimum antenna radiation performance such as gain, half-power beamwidth (HPBW), side lobe level (SLL) etc. The highly flexible and scalable T/R module with Amplitude distribution network has been proposed, the Amplitude Distribution for the linear array can be easily simulated using Computer Simulation Technology (CST) tools eliminating the needs of going through the complex and time-consuming mathematical analysis approach. The Amplitude Distribution has been simulated using CST tools and the performance was validated using the T/R module with the 4×4 array.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Abbasi, Dr Qammer and Imran, Professor Muhammad and Moh Chuan, Tan and Li, Dr David
Authors: Tan, M. C., Li, D., Abbasi, Q. H., and Imran, M.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
ISSN:1947-1491
ISBN:9781728166704
Copyright Holders:Copyright © 2020 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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