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Error Analysis of Orbit Determination for the Geostationary Satellite with Single Station Antenna Tracking Data

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DOI: 10.4236/pos.2011.24013    5,224 Downloads   10,742 Views   Citations


In the study, position and velocity values of a geostationary satellite are found. When performing this, a MATLAB algorithm is used for Runge-Kutta Fehlberg orbit integration method to solve spacecraft’s position and velocity. Integrated method is the solution for the systems which mainly work with a single station. Method provides calculation of azimuth, elevation and range data by using the position simulation results found by RKF. Errors of orbit determination are analysed. Variances of orbit parameters are chosen as the accuracy criteria. Analysis results are the indicator of the method’s accuracy

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The authors declare no conflicts of interest.

Cite this paper

C. Hajiyev and M. Ata, "Error Analysis of Orbit Determination for the Geostationary Satellite with Single Station Antenna Tracking Data," Positioning, Vol. 2 No. 4, 2011, pp. 135-144. doi: 10.4236/pos.2011.24013.


[1] Y. Hwang, et al., “Orbit Determination Accuracy Improvement for Geostationary Satellite with Single Station Antenna Tracking Data,” ETRI Journal, Vol. 30, No. 6, 2008, pp. 774-782.
[2] Y. Hwang, et al., “Communication, Ocean, and Meteo- rological Satellite Orbit Determination Analysis Consi- dering Maneuver Scheme,” AIAA/AAS Astrodynamics Specialist Conference and Exhibit, Keystone, Colorado, August 2006, AAS Paper 2006-6668.
[3] A. Giannatrapani, et al., “Comparison of EKF and UKF for Spacecraft Localization via Angle Measurements,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 1, No. 47, 2011, pp. 75-84.
[4] T. Upadhyay, S. Cotterill and A. W. Deaton, “Auto- nomous GPS/INS Navigation Experiment for Space Trans- fer Vehicle,” IEEE Transactions on Aerospace and Elec- tronic Systems, Vol. 3, No. 29, 1993, pp. 782-785.
[5] S. J. Julier and J. K. Uhlmann, “A New Extension of the Kalman Filter to Nonlinear Systems,” The 11th International Symposium on Aerospace/Defence Sensing, Simulation and Controls, Orlando, April 1997, pp. 182-193.
[6] R. Zhan and J. Wan, “Iterated Unscented Kalman Filter for Passive Target Tracking,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 3, No. 38, 2007, pp. 1155-1163.
[7] N. Ceccarelli, et al., “Spacecraft Localization via Angle Measurements for Autonomous Navigation in Deep Space,” Proceedings of the 17th IFAC Symposium on Automatic Control in Aerospace, Toulouse, June 2007.
[8] E. Babolian, “Numerical Methods,” Elm va Sanat University Publication, Department of Mathematics, Theran, 1994.
[9] M. Es-hagh, “Step Variable Numerical Orbit Integration of a Low Earth Orbiting Satellite,” Journal of the Earth & Space Physics, Vol. 1, No. 31, 2005, pp. 1-12.
[10] C. Haciyev, “Radyo Navigasyon,” Istanbul Technical University Press, Istanbul, 1999.
[11] A. Vallado, “Fundamentals of Astrodynamics and Applications,” 2nd Edition, Microcosm Press Jointly with Kluwer Academic Publisher, Torrance, 2001.
[12] H. D. Curtis, “Orbital Mechanics for Engineering Students,” Elsevier Butterworth-Heinemann, Burlington, 2005.

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