[1] Erdoğan, E., ''GPS-based Real-time Orbit Determination of Artificial Satellites using
Kalman, Particle, Unscented Kalman and H-Infinity Filter'', M.Sc. Thesis School of
Naturaland Applied Sciences, Middle East Technical University, Ankara, Turkey, (2011).
[2] Hauschild A., and Montenbruck O., “Kalman-filter-based GPS Clock Estimation for Near
Real-time Positioning”, GPS Solut., Vol. 13, No. 3, pp. 173-182, (2009).
[3] Sutton, E., “Review of Global Positioning System: Signals, Measurements, and
Performance”, AIAA J., Vol. 40, No. 8, pp. 1693, (2002).
[4] Bowman B., Tobiska, W. K., Marcos, F., Huang, C., Lin, C., and Burke, W., “A New
Empirical Thermospheric Density Model JB2008 using New Solar and Geomagnetic
Indices”, in AIAA/AAS Astrodynamics Specialist Conference and Exhibit, Honolulu,
Hawaii, pp. 18-21 (2008).
[5] Karslioglu, M. O., “An interactive Program for GPS-based Dynamic Orbit Determination
of Small Satellites”, Comput. Geosci., Vol. 31, No. 3, pp. 309-317, (2005).
[6] Chiaradia, A. P. M., Kuga, H. K., and Prado, A., “Single Frequency GPS Measurements in
Real-time Artificial Satellite Orbit Determination”, Acta Astronaut., Vol. 53, No. 2, pp.
123-133, (2003).
[7] Julier, S. J., and Uhlmann, J. K., “Unscented Filtering and Nonlinear Estimation”, Proc.
IEEE, Vol. 92, No. 3, pp. 401-422, (2004).
[8] Sierociuk, D., and Dzieliński, A., “Fractional Kalman Filter Algorithm for the States,
Parameters and Order of Fractional System Estimation”, Int. J. Appl. Math. Comput. Sci.,
Vol. 16, pp. 129-140, (2006).
[9] Ayati, M., and Khaloozadeh, H., “A Stable Adaptive Synchronization Scheme for Uncertain
Chaotic Systems Via Observer”, Chaos, Solitons & Fractals, Vol. 42, No. 4, pp. 2473-2483,
(2009).
[10] Vatankhah, R., Karami, F., and Salarieh, H., “Observer-based Vibration Control of Nonclassical
Microcantilevers using Extended Kalman Filters”, Appl. Math. Model., Vol. 39,
No. 19, pp. 5986-5996, (2015).
[11] Arasaratnam, I., and Haykin, S., “Cubature Kalman Filters”, IEEE Trans. Automat. Contr.,
Vol. 54, No. 6, pp. 1254-1269, (2009).
[12] Chitralekha, S. B., Prakash, J., Raghavan, H., Gopaluni, R. B, and Shah S. L., “A
Comparison of Simultaneous State and Parameter Estimation Schemes for a Continuous
Fermentor Reactor”, J. Process Control, Vol. 20, No. 8, pp. 934-943, (2010).
[13] Gadsden, S. A., Al-Shabi, M., Arasaratnam, I., and Habibi, S. R., “Combined Cubature
Kalman and Smooth Variable Structure Filtering: A Robust Nonlinear Estimation
Strategy”, Signal Processing, Vol. 96, pp. 290-299, (2014).
[14] Vallado, D. A., and McClain, W.D., “Fundamentals of Astrodynamics and Applications”,
Microcosm Press/Springer, 3rd ed., Vol. 12, New York, USA, (2007).
[15] Rossouw, N. C., “A GPS-Based On-board Orbit Propagator for Low Earth-orbiting
CubeSats”, Stellenbosch: Stellenbosch University, South Africa, (2015).
[16] Arasaratnam, I., Haykin, S., and Hurd, T. R., “Cubature Kalman Filtering for Continuous-
Discrete Systems: Theory and Simulations”, IEEE Trans. Signal Process., Vol. 58, No. 10,
pp. 4977-4993, (2010).
[17] Havlicek, M., Friston, K. J., Jan, J., Brazdil, M., and Calhoun, V. D., “Dynamic Modeling
of Neuronal Responses in FMRI using Cubature Kalman Filtering”, Neuroimage, Vol. 56,
No. 4, pp. 2109-2128, (2011).
[18] Wertz, J.R., Everett, D.F., and Puschell, J.J., “Space Mission Engineering: The New
SMAD”, Microcosm Press, Vol. 28, Hawthorne, Califirnia, USA, (2011).
[19] Garcia, R.V., Pardal, P.C., Kuga, H.K., and Zanardi, M.C., “Nonlinear Filtering for
Sequential Spacecraft Attitude Estimation with Real Data: Cubature Kalman Filter,
Unscented Kalman Filter and Extended Kalman Filter”, Advances in Space Research, Vol.
63, No. 2, pp. 1038-1050, (2019).
[20] Kumar, N.A., Suresh, C., and Rao, G.S., “Extended Kalman Filter for GPS Receiver
Position Estimation”, In Intelligent Engineering Informatics, pp. 481-488, Springer,
Singapore, (2018).