article · Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications · 2005
GNSS Regressive Models and Precise Point Positioning
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Abstract
In this paper, a new real-time kinematic (RTK) algorithm for carrier-phase-based precise point positioning based on Global Navigation Satellite System (GNSS) regression models which the authors firstly introduce in the present paper. The derived RTK positioning algorithm may achieve the positioning accuracy in decimeter level, and will be possibly centimeter level.
Cite this paper
Sugimoto, S., & Kubo, Y. (2005). GNSS Regressive Models and Precise Point Positioning. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, 2005(0), 159–164. https://doi.org/10.5687/sss.2005.159
Sugimoto, Sueo, and Yukihiro Kubo. “GNSS Regressive Models and Precise Point Positioning.” Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, vol. 2005, no. 0, 2005, pp. 159–64, https://doi.org/10.5687/sss.2005.159.
Sugimoto, Sueo, and Yukihiro Kubo. 2005. “GNSS Regressive Models and Precise Point Positioning.” Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2005 (0): 159–64. https://doi.org/10.5687/sss.2005.159.
Sugimoto, S. and Kubo, Y. (2005) ‘GNSS Regressive Models and Precise Point Positioning’, Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, 2005(0), pp. 159–164. Available at: https://doi.org/10.5687/sss.2005.159.
@article{sugimoto2005gnss,
title = {{GNSS Regressive Models and Precise Point Positioning}},
author = {Sugimoto, Sueo and Kubo, Yukihiro},
journal = {Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications},
volume = {2005},
number = {0},
pages = {159--164},
year = {2005},
doi = {10.5687/sss.2005.159}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.