Precision-Driven Partial Ambiguity Resolution Technique for Short to Medium Baseline Positioning

GNSS carrier phase observations are fundamental for safety-critical applications where the requirements of accuracy and availability are stringent. Upon the deployment of new GNSS constellation and frequencies, the large number of observations can lead to a decreased probability of successfully mapping the real-valued carrier phase ambiguities to integer ones. Partial Ambiguity Resolution (PAR) relaxes the condition of fixing the complete set of ambiguities and finds instead the subset which maximizes the success rate or grants a low failure rate. This work introduces Precision-Driven (PD) PAR, a technique for which a constraint on the formal precision of the fixed solution is added, and the subset selection is realized based on the projection of the ambiguities into the position domain. The performance characterization is realized on a synthetic scenario, where observations from a triple-frequency, triple-constellation are employed and the estimation is realized on a snapshot (memoryless) manner.