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    Integer Ambiguity Resolution with Nonlinear Geometrical Constraints

    Access Status
    Fulltext not available
    Authors
    Giorgi, G
    Teunissen, Peter
    Verhagen, S
    Buist, Peter
    Date
    2012
    Type
    Book Chapter
    
    Metadata
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    Citation
    Giorgi, G. and Teunissen, P.J.G. and Verhagen, S. and Buist, P.J. 2012. Integer Ambiguity Resolution with Nonlinear Geometrical Constraints, in N. Sneeuw, P. Novak, M. Crespi, F. Sanso (ed), VII Hotine-Marussi Symposium on Mathematical Geodesy: International Association of Geodesy Symposia, Vol. 137, pp. 39-45. Heidelberg: Springer.
    Source Title
    VII Hotine-Marussi Symposium on Mathematical GeodesyInternational Association of Geodesy Symposia, Vol. 137
    Additional URLs
    http://link.springer.com/chapter/10.1007/978-3-642-22078-4_6
    ISBN
    9783642220784
    URI
    http://hdl.handle.net/20.500.11937/11379
    Collection
    • Curtin Research Publications
    Abstract

    Integer ambiguity resolution is the key to obtain very accurate positioning solutions out of the GNSS observations. The Integer Least Squares (ILS) principle, a derivation of the least-squares principle applied to a linear system of equations in which some of the unknowns are subject to an integer constraint, was demonstrated to be optimal among the class of admissible integer estimators. In this contribution it is shown how to embed into the functional model a set of nonlinear geometrical constraints, which arise when considering a set of antennae mounted on a rigid platform. A method to solve for the new model is presented and tested: it is shown that the strengthened underlying model leads to an improved capacity of fixing the correct integer ambiguities.

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