Performance comparison of the BIE estimator with the float and fixed GNSS ambiguity estimators
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The goal of ambiguity resolution is to make optimal use of the integerness of the ambiguities, and it is the key to high precision GNSS positioning and navigation. However, it should only be applied in case the probability of correct integer ambiguity resolution, i.e. the success rate, is very close to one. In that case, the probability that the fixed baseline will be closer to the true but unknown baseline is larger than that of the float baseline. Clearly, this condition will not be fulfilled for each measurement scenario, and this means that for low success rates a user will prefer the float solution.
[1] P. Teunissen. Least-squares estimation of the integer GPS ambiguities , 1993 .
[2] Peter Teunissen,et al. GNSS Best Integer Equivariant Estimation , 2005 .
[3] Brigitte Gundlich,et al. Confidence regions for GPS baselines by Bayesian statistics , 2002 .
[4] Peter Teunissen,et al. Theory of integer equivariant estimation with application to GNSS , 2003 .
[5] P. Teunissen. An optimality property of the integer least-squares estimator , 1999 .