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    Predicting the Success Rate of Long-baseline GPS+Galileo (Partial) Ambiguity Resolution

    200821_200821.pdf (853.2Kb)
    Access Status
    Open access
    Authors
    Odijk, Dennis
    Arora, Balwinder
    Teunissen, Peter
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Odijk, D. and Arora, B. and Teunissen, P. 2014. Predicting the Success Rate of Long-baseline GPS+Galileo (Partial) Ambiguity Resolution. Journal of Navigation. 67 (3): pp. 385-401.
    Source Title
    Journal of Navigation
    DOI
    10.1017/S037346331400006X
    ISSN
    0373-4633
    School
    Department of Spatial Sciences
    Remarks

    NOTICE: This is the author’s version of an article which has been accepted for publication in The Journal of Navigation, published by Cambridge University Press, but may be subject to further editorial input by Cambridge University Press

    Copyright © 2014 The Royal Institute of Navigation

    URI
    http://hdl.handle.net/20.500.11937/11360
    Collection
    • Curtin Research Publications
    Abstract

    This contribution covers precise (cm-level) relative Global Navigation Satellite System(GNSS) positioning for which the baseline length can reach up to a few hundred km. Carrier-phase ambiguity resolution is required to obtain this high positioning accuracy within manageable observation time spans. However, for such long baselines, the differential ionospheric delays hamper fast ambiguity resolution as based on current dual-frequency Global Positioning System (GPS). It is expected that the modernization of GPS towards a triple-frequency system, as well as the development of Galileo towards a full constellation will be beneficial in speeding up long-baseline ambiguity resolution. In this article we will predict ambiguity resolution success rates for GPS+Galileo for a 250 km baseline based on the ambiguity variance matrix, where the Galileo constellation is simulated by means of Yuma almanac data. From our studies it can be concluded that ambiguity resolution will likely become faster (less than ten minutes) in the case of GPS+Galileo when based on triple frequency data of both systems, however much shorter times to fix the ambiguities (one-two minutes) can be expected when only a subset of ambiguities is fixed instead of the complete vector (partial ambiguity resolution).

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