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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Bibliographic Details
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
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Summary: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.