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    Recursive Least-Squares Filtering of Pseudorange Measurements

    Access Status
    Fulltext not available
    Authors
    Le, A.
    Teunissen, Peter
    Date
    2006
    Type
    Conference Paper
    
    Metadata
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    Citation
    Le, A.Q. and Teunissen, P.J.G. 2006. Recursive Least-Squares Filtering of Pseudorange Measurements, in Last, D. (ed), Proceedings of the European Navigation Conference (ENC GNSS 2006), May 7 2006. Manchester, England: ECN.
    Source Title
    Proceedings of the European Navigation Conference (ENC GNSS 2006)
    Source Conference
    Proceedings of the European Navigation Conference (ENC GNSS 2006)
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/20057
    Collection
    • Curtin Research Publications
    Abstract

    Code pseudorange measurement noise is one of the major error sources in Precise Point Positioning. A recursive least-squares solution with proper functional and stochastic modelling would help to exploit in addition the ultra high precision of the carrier phase measurement. Analyses of different methods, including phase smoothed, phase connected and phase adjusted pseudorange algorithm, will show that the phase adjusted pseudorange algorithm is statistically optimal. Static and kinematic experiment results also support the conclusion with more than 30% of improvement by going from the phase smoothed to the phase adjusted algorithm.

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