Autonomous GEO Satellite Navigation with Multiple GNSS Measurements

L. Qiao, S. Lim, C. Rizos, J. Liu

Abstract:	The poor satellite visibility and the weak signal power of the Global Positioning System (GPS) signal reception in side lobes are the main constraint on the Geostationary Earth Orbit (GEO) determination, however, the situation will improve when multi-constellation Global Navigation Satellite Systems (GNSS) become available in the near future. In this study, a navigation algorithm is developed in order to determine the GEO state vector using multiconstellation GNSS measurements. The proposed navigation algorithm is based on a Kalman filter where the estimated state includes position and velocity corrections to the nominal reference trajectory and clock biases. The tests with simulated multi-GNSS measurements indicate that this algorithm meets the accuracy requirement for autonomous GEO satellite navigation.
Published in:	Proceedings of the 22nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2009) September 22 - 25, 2009 Savannah International Convention Center Savannah, GA
Pages:	2169 - 2177
Cite this article:	Qiao, L., Lim, S., Rizos, C., Liu, J., "Autonomous GEO Satellite Navigation with Multiple GNSS Measurements," Proceedings of the 22nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2009), Savannah, GA, September 2009, pp. 2169-2177.
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In