Long Baseline Relative Positioning with Estimating Ionosphere and Troposphere Gradients

T. Yanase, H. Tanaka, M. Ohashi, Y. Kubo, S. Sugimoto

Abstract:	In this paper, we present Real Time Kinematic (RTK) rela- tive positioning algorithms for long baselines with simulta- neously estimating ionospheric and tropospheric delays and their gradients. Also some dynamical models [1–3] of the rover station are reviewed for applying Kalman filters, and we show the experimental results of relative positioning for various baselines such as static and kinematic environments by using the Gps Earth Observation NETwork (GEONET) data provided by Geospatial Information Authority (GSI) of Japan. The experimental results show that, in static envi- ronment, the proposed positioning algorithms achieve a few centimeter errors for both the horizontal and vertical direc- tions in the cases of over 100 [km] baseline. The perfor- mance and effectiveness of the proposed relative positioning algorithm are also discussed.
Published in:	Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010) September 21 - 24, 2010 Oregon Convention Center, Portland, Oregon Portland, OR
Pages:	196 - 206
Cite this article:	Yanase, T., Tanaka, H., Ohashi, M., Kubo, Y., Sugimoto, S., "Long Baseline Relative Positioning with Estimating Ionosphere and Troposphere Gradients," Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, OR, September 2010, pp. 196-206.
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