PPP Based on GR Models with Estimating Tropospheric and Ionospheric Delays

K. Nishikawa, S. Fujita, Y. Kubo, S. Sugimoto

Abstract:	In this paper, we present PPP (Precise Point Positioning) al- gorithms with estimating tropospheric and ionospheric de- lays, based on GR models (GNSS Regression models). GR models have been introduced by the authors for precise point positioning [1]. The derived PPP algorithm achieved the po- sitioning accuracy of decimeter error level without any ex- ternal information [2], [3]. However, based on our previous research [1]-[3], we have found it is much more important to obtain more accurate infomation of tropospheric and iono- spheric delays in order to achieve rapid and accurate posi- tioning results. Therefore, in this research, the method of estimating tropospheric and ionospheric delays that can take into account tropospheric and ionospheric gradients and can be implemented in real-time kinematic environment are pro- posed. The positioning accuracy and convergence speed of the proposed PPP algorithm are examined by experiments.
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:	2496 - 2507
Cite this article:	Nishikawa, K., Fujita, S., Kubo, Y., Sugimoto, S., "PPP Based on GR Models with Estimating Tropospheric and Ionospheric Delays," Proceedings of the 22nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2009), Savannah, GA, September 2009, pp. 2496-2507.
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