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Residual-Based Temporal Correlation Modelling

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GPS Stochastic Modelling

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Abstract

This chapter describes a residual-based approach to modelling temporal correlations of GPS observations. Section 7.1 reviews previous studies on temporal correlation modelling and their main achievements. Next, Sect. 7.2 presents a decomposition procedure using the studentised residual, which is more suitable for temporal correlation analysis than the least-squares (LS) residual. Finally, Sect. 7.3 provides a deeper insight into ARMA modelling with respect to order selection and parameter estimation.

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Notes

  1. 1.

    Available free of charge at www.ngs.noaa.gov/gps-toolbox/Larson.htm.

  2. 2.

    Available at www.mathworks.com/matlabcentral/fileexchange/1330.

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  1. Geodetic Institute, Karlsruhe Institute of Technology (KIT), Englerstr. 7, 76131, Karlsruhe, Germany

    Xiaoguang Luo

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Luo, X. (2013). Residual-Based Temporal Correlation Modelling. In: GPS Stochastic Modelling. Springer Theses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34836-5_7

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