Journal of Geodesy

, Volume 70, Issue 6, pp 330–341 | Cite as

Improving the computational efficiency of the ambiguity function algorithm

  • Shaowei Han
  • Chris Rizos


Techniques are described in this paper for improving the Ambiguity Function Method (AFM) for differential GPS positioning using phase observations, (a) that take advantage of optimal dual-frequency observable combinations to improve thereliability of the AFM, and (b) that significantly shorten the computation time necessary for the AFM. The procedure can be used for kinematic positioning applications if a Kalman filter predicted position is accurate enough as an initial position for the suggested AFM searching procedure, or pseudokinematic mode using say a triple-difference solution as an initial position for static positioning if the baseline length is short (typically <5km).


Computation Time Initial Position Kalman Filter Computational Efficiency Static Position 
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.


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Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • Shaowei Han
    • 1
  • Chris Rizos
    • 1
  1. 1.School of Geomatic EngineeringThe University of New South WalesSydneyAustralia

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