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

Michal Bastl; Tomas  Spacil; Jan Najman; Mustafa Celik; Oğuz Kaan Hancıoğlu; Robert Grepl

doi:10.3849/aimt.01725

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

Authors

Michal Bastl Ph.D candidate https://orcid.org/0000-0002-4946-2180
Tomas Spacil student https://orcid.org/0000-0002-5347-9495
Jan Najman student https://orcid.org/0000-0003-2381-8203
Mustafa Celik employee https://orcid.org/0000-0003-0130-9483
Oğuz Kaan Hancıoğlu student https://orcid.org/0000-0002-9162-9239
Robert Grepl Associate Professor https://orcid.org/0000-0002-5674-3888

DOI:

https://doi.org/10.3849/aimt.01725

Keywords:

antenna pointing, Matlab, mobile SATCOM, Kalman filter, simulation

Abstract

The article presents an improved satellite tracking approach using the extended Kalman 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.

References

[XU, B., Y. LIU, W. SHAN, Y. ZHANG and G. WANG. Error Analysis and Compensation of Gyrocompass Alignment for SINS on Moving Base. Mathemat-ical Problems in Engineering, 2014, 2014, 373575. DOI 10.1155/2014/373575.

ZHAO, J., W. JIA, R. WANG and Z. YAN. Attitude Estimation Based on the Spherical Simplex Transformation Modified Unscented Kalman Filter. Mathemat-ical Problems in Engineering, 2014, 2014, 925914. DOI 10.1155/2014/925914.

ZENG, Q., J. LIU and W. XIONG. Research on Antennas Alignment of Dynamic Point-to-Point Communication. Mathematical Problems in Engineering, 2018, 2018, 8697647. DOI 10.1155/2018/8697647.

HANCIOGLU, O.K., M. CELIK and U. TUMERDEM. Kinematics and Tracking Control of a Four Axis Antenna for Satcom on the Move. In: 2018 International Power Electronics Conference. Niigata: IEEE, 2018, pp. 1680-1686. DOI 10.23919/IPEC.2018.8507963.

ZHAO, L. and J. XIE. A Novel Method of Scanning and Tracking in Satellite Communication Systems. IEEE Access, 2017, 5, pp. 9957-9961. DOI 10.1109/ACCESS.2017.2702138.

NAJMAN, J., M. BASTL, M. APPEL and R. GREPL. Computationally Fast Dynamical Model of a SATCOM Antenna Suitable for Extensive Optimization Tasks. Advances in Military Technology, 2019, 14(1), pp. 21-30. DOI 10.3849/aimt.01259.

CHEN, C. and Y. WANG. Research of the Variable Step Size Algorithm of An-tenna Tracking Satellite for SATCOM On-the-Move. In: 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics. Hangzhou: IEEE, 2013, pp. 490-493. DOI 10.1109/IHMSC.2013.264.

RICHARIA, M. An Improved Step-Track Algorithm for Tracking Geosynchronous Satellites. International Journal of Satellite Communications, 1986, 4(3), pp. 147-156. DOI 10.1002/sat.4600040305.

GAWRONSKI, W. and E.M. CRAPARO. Antenna Scanning Techniques for Estimation of Spacecraft Position. IEEE Antennas and Propagation Magazine, 2002, 44(6), pp. 38-45. DOI 10.1109/MAP.2002.1167263.

MAHAFZA, B.R. Radar Systems Analysis and Design Using MATLAB. New York: Chapman & Hall/CRC, 2000. ISBN 1-58488-182-8.

KAILATH, T., A.H. SAYED and B. HASSIBI. Linear Estimation. London: Pearson, 2000. ISBN 0-13-022464-2.

DEBRUIN, J. Control Systems for Mobile Satcom Antennas. IEEE Control Sys-tems Magazine, 2008, 28(1), pp. 86-101. DOI 10.1109/MCS.2007.910205.

FRANKLIN, G.F., J.D. POWELL and M.L. WORKMAN. Digital Control of Dynamic Systems. London: Pearson, 1998. ISBN 0-201-33153-5.

Downloads

Published

29-03-2023

Issue

Vol. 18 No. 1 (2023)

Section

Research Paper

License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

Users can use, reuse and build upon the material published in the journal for any purpose, even commercially.

How to Cite

Bastl, M., Spacil, T. ., Najman, J., Celik, M., Hancıoğlu, O. K., & Grepl, R. (2023). Estimation of Maximum Signal Strength for Satellite Tracking Based on the Extended Kalman Filter. Advances in Military Technology, 18(1), 87-99. https://doi.org/10.3849/aimt.01725