Unified Positioning Algorithms Based on GNSS Regression Equations -- Further Results of Point and Relative Positioning

Yukihiro Kubo, Seigo Fujita, and Sueo Sugimoto

Abstract:	In this paper, we show the algorithms of carrier-phase-based precise point positioning (PPP) as well as relative positioning based on novel GR equations (: GNSSRegression equations) and their experimental results. GR equations were introduced such that a PPP algorithm were derived in [1,2,3]. The derived PPP algorithm achieved a positioning accuracy at the decimeter error level without any external information. And the extension of the GR equations to the relative positioning was also introduced in [4]. Kalman filter is effectively applied in both of PPP and the relative positioning. In this paper, after reviewing the algorithms of PPP and the relative positioning based on [4], the experimental results using real receiver data collected in the static environment are shown.
Published in:	Proceedings of the 2007 National Technical Meeting of The Institute of Navigation January 22 - 24, 2007 The Catamaran Resort Hotel San Diego, CA
Pages:	892 - 902
Cite this article:	Kubo, Yukihiro, Fujita, Seigo, Sugimoto, Sueo, "Unified Positioning Algorithms Based on GNSS Regression Equations -- Further Results of Point and Relative Positioning," Proceedings of the 2007 National Technical Meeting of The Institute of Navigation, San Diego, CA, January 2007, pp. 892-902.
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