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.
| Zugehörige Institution(en) am KIT | Geodätisches Institut (GIK) KIT-Zentrum Klima und Umwelt (ZKU) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2012 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-642-34835-8 urn:nbn:de:swb:90-306193 KITopen-ID: 1000030619 |
| Verlag | Springer-Verlag |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU) |
| Institut | Geodätisches Institut (GIK) |
| Prüfungsdatum | 14.02.2012 |
| Externe Relationen | Siehe auch |
| Schlagwörter | GPS stochastic model, observation weighting, temporal correlation modelling, signal-to-noise ratio (SNR), autoregressive moving average (ARMA) process |
| Referent/Betreuer | Heck, B. |