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Phased Antenna Arrays, Software Defined Radio and Artificial Intelligence: Advancing LEO Satellite CommunicationsADOMNITEI, C.-I.   , LESANU, C.-E. , DONE, A. , COCA, E. , LAVRIC, A. |
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Author keywords
computer simulation, intelligent transportation systems, machine learning, routing protocols, vehicular ad hoc networks.
References keywords
satellite(11), learning(11), systems(9), antenna(9), radio(8), internet(7), access(7), communications(6), communication(6), array(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2024-11-30
Volume 24, Issue 4, Year 2024, On page(s): 57 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2024.04006
Abstract
This article explores how phased antenna arrays can enhance Low Earth Orbit (LEO) satellite reception systems, while addressing cybersecurity challenges in wireless communications. A conceptual design is proposed to tackle the variable dynamics of LEO satellites and meet the increasing demands of satellite communication systems for future wireless applications. The study highlights the advantages of this approach over traditional beamsteering methods. Integrating advanced artificial intelligence (AI), digital signal processing (DSP), and software-defined radio (SDR) is identified as a transformative strategy, improving adaptability and optimization for phased antenna arrays, particularly in mitigating RF threats. Beamforming evaluations demonstrate how adjusting the phases and amplitudes of feeding signals significantly impacts radiation patterns, enhancing the quality of received signals. The paper's main contribution lies in its comprehensive analysis of key challenges in LEO satellite communications, emphasizing the role of phased antenna arrays alongside AI and SDR. As cyber threats rise, the findings underscore the urgent need for further research into RF protection to secure communication systems in the rapidly evolving landscape of IoT and satellite technologies. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
