Publication detail

Estimation of Maximum Signal Strength for Satellite Tracking Based on the Extended Kalman Filter

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

Full text in the Digital Library

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"
}