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GPS Stochastic Modelling - Signal Quality Measures and ARMA Processes
Abstract
This work extends the GPS stochastic model using SNR measurements and time series analysis of observation residuals. The proposed SNR-based observation weighting model significantly improves the results of GPS data analysis, while the temporal correlation of GPS observation noise can be efficiently described by means of ARMA processes. Furthermore, this work includes an up-to-date overview of the GPS error effects and a comprehensive description of various mathematical methods- doc-type:doctoralThesis
- Text
- info:eu-repo/semantics/doctoralThesis
- dissertation
- info:eu-repo/semantics/publishedVersion
- GPS stochastic model
- observation weighting
- temporal correlation modelling
- signal-to-noise ratio (SNR)
- autoregressive moving average (ARMA) process
- ddc:550
- Earth sciences
- info:eu-repo/classification/ddc/550
Similar works
This paper was published in KITopen.
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