Abstract
Using the least-squares (LS) method to analyse GPS data, both the functional and stochastic models must be appropriately specified for accurate parameter estimates and realistic quality measures. In comparison to the highly developed functional model, the stochastic model applied in many GPS software products is considered unrealistic due to the elevation-dependent (or even identical) weighting model and the neglect of physical correlations between GPS observations. Following the specific objectives described in Sect. 1.3, this thesis has proposed an advanced observation weighting scheme based on signal-to-noise ratio (SNR) measurements and a rigorous temporal correlation analysis using residual time series from LS evaluation.
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Luo, X. (2013). Conclusions and Recommendations. In: GPS Stochastic Modelling. Springer Theses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34836-5_9
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DOI: https://doi.org/10.1007/978-3-642-34836-5_9
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