The distribution of the GPS baseline in case of integer least-squares ambiguity estimation.
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This contribution presents the probability distribution of the 'fixed' GPS baseline. This is the baseline which is used in fast and high precision GPS kinematic positioning. It follows from an ambiguity resolution process in which the carrier phase ambiguities are estimated as integers. For the estimation of the carrier phase ambiguities the principle of integer least-squares is used. By means of the 'fixed' baseline distribution it becomes possible to infer the quality of the positioning results. In particular their dependence on the quality of GPS ambiguity resolution is made clear. The mean and variance matrix of the 'fixed' baseline estimator are also determined. It shows that the 'fixed' baseline estimator is unbiased and that the difference of its precision with that of its conditional counterpart is governed by the precision of the integer least-squares ambiguities.
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Teunissen, Peter (2003)Abstract. In this invited contribution a brief review will be presented of the integer estimation theory as developed by the author over the last decade and which started with the introduction of the LAMBDA method in 1993. ...
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