GNSS Positioning Enhancement Based on Statistical Modeling in Urban Environment

I. Mendoume, M. Charbit, B. Godefroy,J-B. Prost

Abstract:	The capability to improve the GPS system, using satellites and/or environmental variables (SEV), has been explored by several authors in the last decade. In this work, we were interested in a statistical approach. At first, a statistical heteroscedastic model of the distance errors, as a function of SEV, has been validated and the enhancement in terms of the geo-location has been derived. These results have been obtained on a large database, acquired on the city of Toulouse. In the second part, some partial results on the relationship between the satellite parameters and the environmental parameters were shown. In particular the relative orientation of the lane with respect to the satellite azimuth exhibited a dependence with the elevation and with the SNR of the satellite. Also a logistic model, explaining a narrow lane against a wide lane as a function of the elevation and of the SNR, gave promising results. Index Terms—GPS, satellite elevation and azimuth, urban area, lane width, building height, distance to the nearest building, statistical regression, heteroscedasticity, logistic regression
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:	2221 - 2227
Cite this article:	Mendoume, I., Charbit, M., Godefroy, B., Prost, J-B., "GNSS Positioning Enhancement Based on Statistical Modeling in Urban Environment," Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, OR, September 2010, pp. 2221-2227.
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