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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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 |
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. |
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