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BASTL, M. SPÁČIL, T. NAJMAN, J. CELIK, M. HANCIOGLU, O. GREPL, R.
Original Title
Estimation of Maximum Signal Strength for Satellite Tracking Based on the Extended Kalman Filter
Type
journal article in Scopus
Language
English
Original 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.
Keywords
antenna pointing; Kalman filter; MATLAB; mobile SATCOM; simulation
Authors
BASTL, M.; SPÁČIL, T.; NAJMAN, J.; CELIK, M.; HANCIOGLU, O.; GREPL, R.
Released
29. 3. 2023
Publisher
University of Defence
ISBN
1802-2308
Periodical
Advances in Military Technology
Year of study
18
Number
1
State
Czech Republic
Pages from
89
Pages to
101
Pages count
12
URL
https://aimt.cz/index.php/aimt/article/view/1725
Full text in the Digital Library
http://hdl.handle.net/11012/244301
BibTex
@article{BUT184792, author="Michal {Bastl} and Tomáš {Spáčil} and Jan {Najman} and Mustafa {Celik} and Oguz Kaan {Hancioglu} and Robert {Grepl}", title="Estimation of Maximum Signal Strength for Satellite Tracking Based on the Extended Kalman Filter", journal="Advances in Military Technology", year="2023", volume="18", number="1", pages="89--101", doi="10.3849/aimt.01725", issn="1802-2308", url="https://aimt.cz/index.php/aimt/article/view/1725" }