Estimation of Maximum Signal Strength for Satellite Tracking Based on the Extended Kalman Filter
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Date
2023-03-29
Authors
Bastl, Michal
Spáčil, Tomáš
Najman, Jan
Celik, Mustafa
Hancioglu, Oguz Kaan
Grepl, Robert
0000-0002-4946-2180Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
University of Defence
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Abstract
The article presents an improved satellite tracking approach using the extended Kal-man filter within the control systems of the moving antenna. The main focus is on the issue of maintaining the maximum signal strength during vehicle movement, gyroscope and GPS sensors error and the deterioration of reception due to changing conditions (weather, obstacles). Typically used techniques are based on ad-hoc scanning of the maximum value of the RF signal. The approach presented in this article might be used as a much more consistent and elegant alternative to these algorithms. To prove the function of the presented algorithm, simulations of several different scenarios are performed. Based on these simulations, the robustness and speed of the newly designed algorithm are evaluated. © 2023, University of Defence. All rights reserved.
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Citation
Advances in Military Technology. 2023, vol. 18, issue 1, p. 89-101.
https://aimt.cz/index.php/aimt/article/view/1725
https://aimt.cz/index.php/aimt/article/view/1725
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
Creative Commons Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
http://creativecommons.org/licenses/by-nc/4.0/