Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method

  • G. Giorgi
  • P. J. G. Teunissen
  • S. VerhagenEmail author
  • P. J. Buist
Conference paper
Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 136)


GNSS Attitude Determination is a valuable technique for the estimation of platform orientation. To achieve high accuracies on the angular estimations, the GNSS carrier phase data has to be used. These data are known to be affected by integer ambiguities, which must be correctly resolved in order to exploit the higher precision of the phase observables with respect to the GNSS code data. For a set of GNSS antennae rigidly mounted on a platform, a number of nonlinear geometrical constraints can be exploited for the purpose of strengthening the underlying observation model and subsequently improving the capacity of fixing the correct set of integer ambiguities. A multivariate constrained version of the LAMBDA method is presented and tested here.


Ambiguity Resolution Baseline Length Integer Ambiguity Integer Minimizer Code Observation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



P.J.G. Teunissen is the recipient of an Australian Research Council Federation Fellowship (project number FF0883188): this support is gratefully acknowledged.

The research of S. Verhagen is supported by the Dutch Technology Foundation STW, applied science division of NWO and the Technology Program of the Ministry of Economic Affairs.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • G. Giorgi
    • 1
  • P. J. G. Teunissen
    • 1
    • 2
  • S. Verhagen
    • 1
    Email author
  • P. J. Buist
    • 1
  1. 1.Delft Institute of Earth Observation and Space Systems (DEOS)Delft University of TechnologyDelftThe Netherlands
  2. 2.Department of Spatial SciencesCurtin University of TechnologyPerthAustralia

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