GPS-based real-time orbit determination of artificial satellites using kalman, particle, unscented kalman and H-infinity filters

Erdoğan, Eren
Nowadays, Global Positioning System (GPS) which provide global coverage, continuous tracking capability and high accuracy has been preferred as the primary tracking system for onboard real-time precision orbit determination of Low Earth Orbiters (LEO). In this work, real-time orbit determination algorithms are established on the basis of extended Kalman, unscented Kalman, regularized particle, extended Kalman particle and extended H-infinity filters. Particularly, particle filters which have not been applied to the real time orbit determination until now are also performed in this study and H-infinity filter is presented using all kinds of real GPS observations. Additionally, performance of unscented Kalman filter using GRAPHIC (Group and Phase Ionospheric Correction) measurements is investigated. To evaluate performances of all algorithms, comparisons are carried out using different types of GPS observations concerning C/A (Coarse/Acquisition) code pseudorange, GRAPHIC and navigation solutions. A software package for real time orbit determination is developed using recursive filters mentioned above. The software is implemented and tested in MATLAB© R2010 programming language environment on the basis of the object oriented programming schema.


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Citation Formats
E. Erdoğan, “GPS-based real-time orbit determination of artificial satellites using kalman, particle, unscented kalman and H-infinity filters,” M.S. - Master of Science, Middle East Technical University, 2011.