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    Instantaneous ambiguity resolution in global-navigation-satellite-system-based determination applications: A multivariate constrained approach

    189160_71638_Instantaneous_ambiguity_resolution_Teunissen.pdf (4.558Mb)
    Access Status
    Open access
    Authors
    Giorgi, G.
    Teunissen, Peter
    Verhagen, S.
    Buist, P.
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Giorgi, Gabriele and Teunissen, Peter J.G. and Verhagen, Sandra and Buist, Peter J. 2012. Instantaneous ambiguity resolution in global-navigation-satellite-system-based determination applications: A multivariate constrained approach. Journal of Guidance, Control and Dynamics. 35 (1): pp. 51-67.
    Source Title
    Journal of Guidance, Control and Dynamics
    DOI
    10.2514/1.54069
    Additional URLs
    http://arc.aiaa.org/
    ISSN
    0731-5090
    Remarks

    Reprinted with permission of the American Institute of Aeronautics and Astronautics, Inc.

    URI
    http://hdl.handle.net/20.500.11937/44981
    Collection
    • Curtin Research Publications
    Abstract

    Carrier phase integer ambiguity resolution is the key to high-precision Global Navigation Satellite System (GNSS) positioning, navigation, and attitude determination. It is the process of resolving the unknown cycle ambiguities of the carrier phase data as integers. After ambiguity resolution, precise baseline estimates become available, which can be used to derive the attitude of a multi-antenna platform. The purpose of this contribution is to present and test a rigorous GNSS-based attitude determination method, optimally exploiting the complete set of geometrical constraints. The key to this new method is an extension of the popular LAMBDA method: the multivariate constrained LAMBDA. The method estimates the integer ambiguities and the platform’s attitude in an integralmanner, fully exploiting the known body geometry of the multi-antenna configuration. As a result, the ambiguity resolution performance is greatly improved. The method is extensively tested addressing the most challenging scenario: single-epoch single-frequency GNSS observations are processed without any filtering, external aid, or dynamic modeling.

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