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A New Positioning Algorithm with Elevation-Dependent Data Weighting

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 160))

Abstract

As important and fundamental space establishment for global economy and national defence, satellite navigation systems (GNSS) can provide users with high precision navigation, positioning and timing services that are available without interruption of weather conditions. Same to all GNSS systems such as GPS, GALILEO and GLONASS, COMPASS positioning precision varies with a user’s viewing geometry of the GNSS constellation. In case of un-optimal viewing geometries, simple positioning algorithm would lead to deteriorated positioning that is unable to satisfy the user’s requirements. This paper proposes a new algorithm to improve positioning precision under un-optimal viewing geometry conditions by properly weighting psudo-range measurements based on their elevations. Application experiments with COMPASS data show significant improvement over the traditional positioning algorithm which treats all measurements with equal weight.

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References

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Correspondence to Ranran Su .

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© 2012 Springer-Verlag Berlin Heidelberg

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Su, R., Zhang, L., Liu, L., Tang, G., Hu, G. (2012). A New Positioning Algorithm with Elevation-Dependent Data Weighting. In: Sun, J., Liu, J., Yang, Y., Fan, S. (eds) China Satellite Navigation Conference (CSNC) 2012 Proceedings. Lecture Notes in Electrical Engineering, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29175-3_24

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  • DOI: https://doi.org/10.1007/978-3-642-29175-3_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29174-6

  • Online ISBN: 978-3-642-29175-3

  • eBook Packages: EngineeringEngineering (R0)

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