Multipath interferences are one of the main GPS error sources nowadays. The additional observation type of signal-to-noise ratio provides appropriate information to identify areas with degraded data quality due to multipath reflections. After a short introduction to signal-to-noise ratio is related to the phase tracking error of the original phase measurements and derived linear combinations. This relation can be used to support the idividual weighting of the observations in the processing. A promising weighting strategy is presented and the positive impact to the processing is evaluated. The impact of the presented theory is shown on several real datasets.
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