RTK Relative Positioning Algorithms for Long Baselines with Estimating Ionospheric and Tropospheric Delays

Seigo Fujita, Hiroaki Imono, Yukihiro Kubo, Sueo Sugimoto

Abstract:	In this paper, we present RTK relative positioning algo- rithms for long baselines with estimating simultaneously the ionospheric and tropospheric delays. Also new dynamical models [1–3] of the rover station are proposed for apply- ing Kalman filters as their state variables. Finally, we show the experimental results of relative positioning for various baselines, under static as well as kinematic environments by using the Gps Earth Observation NETwork (GEONET) data provided by the Geographical Survey Institute (GSI) of Japan. Our experimental results show that, in static envi- ronment, the proposed positioning algorithms achieve a few centimeter errors for both the horizontal and updown direc- tions in the cases of over 100 [km] baseline. Furthermore the performance and effectiveness of the proposed relative positioning algorithm are discussed.
Published in:	Proceedings of the 21st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2008) September 16 - 19, 2008 Savannah International Convention Center Savannah, GA
Pages:	1829 - 1839
Cite this article:	Fujita, Seigo, Imono, Hiroaki, Kubo, Yukihiro, Sugimoto, Sueo, "RTK Relative Positioning Algorithms for Long Baselines with Estimating Ionospheric and Tropospheric Delays," Proceedings of the 21st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2008), Savannah, GA, September 2008, pp. 1829-1839.
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