Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering

Hasan Kinatas; Chingiz Hajiyev

doi:10.1007/978-3-031-73420-5_13

Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering

Hasan Kinatas^*, Chingiz Hajiyev

^*Corresponding author for this work

Department of Aeronautical Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Turksat 5B is a Turkish geostationary communications satellite operated by Turksat A.Ş which was launched on 19 December 2021 for commercial purposes. To determine its orbit, that is, its state vector in space, range, azimuth, and elevation angles are utilized in conjunction with Extended and Unscented Kalman filter (EKF and UKF) algorithms. Following the estimation results from these filters, their performance is compared in terms of both accuracy and computational burden. In this endeavor, several simulations are performed in which it is assumed that a single-station antenna exists in Istanbul at 41.10° latitude and 29.02° longitude. This single-station antenna provides range and angle measurements, which are then indirectly used in the filtering algorithm. Utilizing these measurements indirectly implies that they undergo pre-processing to obtain the satellite’s position vector in the Earth Centered Inertial (ECI) frame. This pre-processing simplifies the EKF observation matrix and enhances the initial filter convergence.

Original language	English
Title of host publication	Information Technologies and Their Applications - 2nd International Conference, ITTA 2024, Proceedings
Editors	Gulchohra Mammadova, Telman Aliev, Kamil Aida-zade
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	144-158
Number of pages	15
ISBN (Print)	9783031734199
DOIs	https://doi.org/10.1007/978-3-031-73420-5_13
Publication status	Published - 2025
Event	2nd International Conference on Information Technologies and Their Applications, ITTA 2024 - Baku, Azerbaijan Duration: 23 Apr 2024 → 25 Apr 2024

Publication series

Name	Communications in Computer and Information Science
Volume	2226 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	2nd International Conference on Information Technologies and Their Applications, ITTA 2024
Country/Territory	Azerbaijan
City	Baku
Period	23/04/24 → 25/04/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

Extended Kalman Filter
Kalman Filtering
Orbit Estimation
Satellite
Unscented Kalman Filter

Access to Document

10.1007/978-3-031-73420-5_13

Cite this

Kinatas, H., & Hajiyev, C. (2025). Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering. In G. Mammadova, T. Aliev, & K. Aida-zade (Eds.), Information Technologies and Their Applications - 2nd International Conference, ITTA 2024, Proceedings (pp. 144-158). (Communications in Computer and Information Science; Vol. 2226 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73420-5_13

Kinatas, Hasan ; Hajiyev, Chingiz. / Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering. Information Technologies and Their Applications - 2nd International Conference, ITTA 2024, Proceedings. editor / Gulchohra Mammadova ; Telman Aliev ; Kamil Aida-zade. Springer Science and Business Media Deutschland GmbH, 2025. pp. 144-158 (Communications in Computer and Information Science).

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title = "Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering",

abstract = "Turksat 5B is a Turkish geostationary communications satellite operated by Turksat A.{\c S} which was launched on 19 December 2021 for commercial purposes. To determine its orbit, that is, its state vector in space, range, azimuth, and elevation angles are utilized in conjunction with Extended and Unscented Kalman filter (EKF and UKF) algorithms. Following the estimation results from these filters, their performance is compared in terms of both accuracy and computational burden. In this endeavor, several simulations are performed in which it is assumed that a single-station antenna exists in Istanbul at 41.10° latitude and 29.02° longitude. This single-station antenna provides range and angle measurements, which are then indirectly used in the filtering algorithm. Utilizing these measurements indirectly implies that they undergo pre-processing to obtain the satellite{\textquoteright}s position vector in the Earth Centered Inertial (ECI) frame. This pre-processing simplifies the EKF observation matrix and enhances the initial filter convergence.",

keywords = "Extended Kalman Filter, Kalman Filtering, Orbit Estimation, Satellite, Unscented Kalman Filter",

author = "Hasan Kinatas and Chingiz Hajiyev",

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Kinatas, H & Hajiyev, C 2025, Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering. in G Mammadova, T Aliev & K Aida-zade (eds), Information Technologies and Their Applications - 2nd International Conference, ITTA 2024, Proceedings. Communications in Computer and Information Science, vol. 2226 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 144-158, 2nd International Conference on Information Technologies and Their Applications, ITTA 2024, Baku, Azerbaijan, 23/04/24. https://doi.org/10.1007/978-3-031-73420-5_13

Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering. / Kinatas, Hasan; Hajiyev, Chingiz.
Information Technologies and Their Applications - 2nd International Conference, ITTA 2024, Proceedings. ed. / Gulchohra Mammadova; Telman Aliev; Kamil Aida-zade. Springer Science and Business Media Deutschland GmbH, 2025. p. 144-158 (Communications in Computer and Information Science; Vol. 2226 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025

Y1 - 2025

N2 - Turksat 5B is a Turkish geostationary communications satellite operated by Turksat A.Ş which was launched on 19 December 2021 for commercial purposes. To determine its orbit, that is, its state vector in space, range, azimuth, and elevation angles are utilized in conjunction with Extended and Unscented Kalman filter (EKF and UKF) algorithms. Following the estimation results from these filters, their performance is compared in terms of both accuracy and computational burden. In this endeavor, several simulations are performed in which it is assumed that a single-station antenna exists in Istanbul at 41.10° latitude and 29.02° longitude. This single-station antenna provides range and angle measurements, which are then indirectly used in the filtering algorithm. Utilizing these measurements indirectly implies that they undergo pre-processing to obtain the satellite’s position vector in the Earth Centered Inertial (ECI) frame. This pre-processing simplifies the EKF observation matrix and enhances the initial filter convergence.

AB - Turksat 5B is a Turkish geostationary communications satellite operated by Turksat A.Ş which was launched on 19 December 2021 for commercial purposes. To determine its orbit, that is, its state vector in space, range, azimuth, and elevation angles are utilized in conjunction with Extended and Unscented Kalman filter (EKF and UKF) algorithms. Following the estimation results from these filters, their performance is compared in terms of both accuracy and computational burden. In this endeavor, several simulations are performed in which it is assumed that a single-station antenna exists in Istanbul at 41.10° latitude and 29.02° longitude. This single-station antenna provides range and angle measurements, which are then indirectly used in the filtering algorithm. Utilizing these measurements indirectly implies that they undergo pre-processing to obtain the satellite’s position vector in the Earth Centered Inertial (ECI) frame. This pre-processing simplifies the EKF observation matrix and enhances the initial filter convergence.

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A2 - Aida-zade, Kamil

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Y2 - 23 April 2024 through 25 April 2024

ER -

Kinatas H, Hajiyev C. Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering. In Mammadova G, Aliev T, Aida-zade K, editors, Information Technologies and Their Applications - 2nd International Conference, ITTA 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 144-158. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-73420-5_13

Preliminary Orbit Estimation for Turksat 5B via Extended and Unscented Kalman Filtering

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this