Use of Self-Contained Ionospheric Modeling to Enhance Long Baseline Multiple Reference Station RTK Positioning

P. Alves, G. Lachapelle, M.E. Cannon, J. Park, and P. Park

Abstract:	The multiple reference station approach relies on the precise measurement of network errors. This is accomplished using carrier phase measures with correctly fixed ambiguities. Any bias in the measure of the network errors will cause biases in the calculation of the user corrections. In the case of sparse multiple reference station networks, waiting for fixed ambiguities may cause limitations in terms of the availability of the corrections. In this case, float and fixed ambiguities would need to be used. The second problem with long baseline networks is that the level of ionosphere and, to a lesser extent, troposphere error can hinder the ability to fix ambiguities. This paper discusses a method of self-contained ionosphere modeling to reduce the effect of the ionosphere on the estimation of the network ambiguities. To this end, an optimization method for the parameters of an ionosphere model is developed and a possible adaptive scheme is proposed. Such a scheme would provide an optimal ionosphere estimate regardless of baseline length or ionosphere conditions.
Published in:	Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002) September 24 - 27, 2002 Oregon Convention Center Portland, OR
Pages:	1388 - 1399
Cite this article:	Alves, P., Lachapelle, G., Cannon, M.E., Park, J., Park, P., "Use of Self-Contained Ionospheric Modeling to Enhance Long Baseline Multiple Reference Station RTK Positioning," Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002), Portland, OR, September 2002, pp. 1388-1399.
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