ORBIT DETERMINATION OF GEOSTATIONARY COMMUNICATION SATELLITE USING EXTENDED KALMAN FILTER

This final project explores the use of the Extended Kalman Filter (EKF) for orbit deter mination of geostationary communication satellites based on turnaround ranging data from two main ground stations and one verificator ground station. Geostationary sa tellites play a critical role in modern...

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Main Author: Muhammad Arif, Faiq
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/84806
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:84806
spelling id-itb.:848062024-08-18T16:36:49ZORBIT DETERMINATION OF GEOSTATIONARY COMMUNICATION SATELLITE USING EXTENDED KALMAN FILTER Muhammad Arif, Faiq Indonesia Final Project Geostationary Orbit, Turnaround ranging, Station-keeping, Extended Kalman Filter. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/84806 This final project explores the use of the Extended Kalman Filter (EKF) for orbit deter mination of geostationary communication satellites based on turnaround ranging data from two main ground stations and one verificator ground station. Geostationary sa tellites play a critical role in modern communication systems, requiring accurate orbit determination to ensure optimal position and functionality. This research focuses on dynamic motion modeling, measurement of ranging data, and processing the data to predict the orbit parameters, which can significantly affect orbit accuracy. The EKF, known for handling nonlinear systems and adapting to dynamic enviro nments, is identified as a promising solution. The theoretical foundation of the EKF is examined, highlighting its suitability for real-time orbit determination of geostationary satellites. The project involves developing a simulation environment to model satellite dyna mics and integrating the EKF to assess its performance in estimating orbit parameters accurately. The research also evaluates the EKF’s adaptability to changes in satellite movement, convergence analysis, and the impact of measurement errors on orbit deter mination accuracy. This research successfully converted measurements from the turnaround ranging method into the coordinate system used by commercial software with minimal error. A two-body dynamic model was derived to represent the ideal dynamics of a geosta tionary satellite, and the 4th Order Runge-Kutta (RK4) method was implemented for accurate numerical integration. The EKF demonstrated high accuracy in predicting the semimajor axis, eccentricity, and inclination, though improvements are needed for other parameters such as the right ascension of the ascending node, argument of periapsis, and geodetic longitude. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This final project explores the use of the Extended Kalman Filter (EKF) for orbit deter mination of geostationary communication satellites based on turnaround ranging data from two main ground stations and one verificator ground station. Geostationary sa tellites play a critical role in modern communication systems, requiring accurate orbit determination to ensure optimal position and functionality. This research focuses on dynamic motion modeling, measurement of ranging data, and processing the data to predict the orbit parameters, which can significantly affect orbit accuracy. The EKF, known for handling nonlinear systems and adapting to dynamic enviro nments, is identified as a promising solution. The theoretical foundation of the EKF is examined, highlighting its suitability for real-time orbit determination of geostationary satellites. The project involves developing a simulation environment to model satellite dyna mics and integrating the EKF to assess its performance in estimating orbit parameters accurately. The research also evaluates the EKF’s adaptability to changes in satellite movement, convergence analysis, and the impact of measurement errors on orbit deter mination accuracy. This research successfully converted measurements from the turnaround ranging method into the coordinate system used by commercial software with minimal error. A two-body dynamic model was derived to represent the ideal dynamics of a geosta tionary satellite, and the 4th Order Runge-Kutta (RK4) method was implemented for accurate numerical integration. The EKF demonstrated high accuracy in predicting the semimajor axis, eccentricity, and inclination, though improvements are needed for other parameters such as the right ascension of the ascending node, argument of periapsis, and geodetic longitude.
format Final Project
author Muhammad Arif, Faiq
spellingShingle Muhammad Arif, Faiq
ORBIT DETERMINATION OF GEOSTATIONARY COMMUNICATION SATELLITE USING EXTENDED KALMAN FILTER
author_facet Muhammad Arif, Faiq
author_sort Muhammad Arif, Faiq
title ORBIT DETERMINATION OF GEOSTATIONARY COMMUNICATION SATELLITE USING EXTENDED KALMAN FILTER
title_short ORBIT DETERMINATION OF GEOSTATIONARY COMMUNICATION SATELLITE USING EXTENDED KALMAN FILTER
title_full ORBIT DETERMINATION OF GEOSTATIONARY COMMUNICATION SATELLITE USING EXTENDED KALMAN FILTER
title_fullStr ORBIT DETERMINATION OF GEOSTATIONARY COMMUNICATION SATELLITE USING EXTENDED KALMAN FILTER
title_full_unstemmed ORBIT DETERMINATION OF GEOSTATIONARY COMMUNICATION SATELLITE USING EXTENDED KALMAN FILTER
title_sort orbit determination of geostationary communication satellite using extended kalman filter
url https://digilib.itb.ac.id/gdl/view/84806
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