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    GNSS antenna array-aided CORS ambiguity resolution

    200819_200819.pdf (261.8Kb)
    Access Status
    Open access
    Authors
    Li, Bofeng
    Teunissen, Peter
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Li, B. and Teunissen, P. 2014. GNSS antenna array-aided CORS ambiguity resolution. Journal of Geodesy. 88 (4): pp. 363-376.
    Source Title
    Journal of Geodesy
    DOI
    10.1007/s00190-013-0688-2
    ISSN
    09497714
    School
    Department of Spatial Sciences
    Remarks

    The final publication is available at Springer via http://doi.org/10.1007/s00190-013-0688-2

    URI
    http://hdl.handle.net/20.500.11937/35462
    Collection
    • Curtin Research Publications
    Abstract

    Array-aided precise point positioning is a measurement concept that uses GNSS data, from multiple antennas in an array of known geometry, to realize improved GNSS parameter estimation proposed by Teunissen (IEEE Trans Signal Process 60:2870–2881, 2012). In this contribution, the benefits of array-aided CORS ambiguity resolution are explored. The mathematical model is formulated to show how the platform-array data can be reduced and how the variance matrix of the between-platform ambiguities can profit from the increased precision of the reduced platform data. The ambiguity resolution performance will be demonstrated for varying scenarios using simulation. We consider single-, dual- and triple-frequency scenarios of geometry-based and geometry-free models for different number of antennas and different standard deviations of the ionosphere-weighted constraints. The performances of both full and partial ambiguity resolution (PAR) are presented for these different scenarios. As the study shows, when full advantage is taken of the array antennas, both full and partial ambiguity resolution can be significantly improved, in some important cases even enabling instantaneous ambiguity resolution. PAR widelaning and its suboptimal character are hereby also illustrated.

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