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GPS Stochastic Modelling - Signal Quality Measures and ARMA Processes

Luo, Xiaoguang

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.

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Volltext §
DOI: 10.5445/IR/1000030619
Coverbild
Zugehörige Institution(en) am KIT Geodätisches Institut (GIK)
Publikationstyp Hochschulschrift
Jahr 2012
Sprache Englisch
Identifikator ISBN: 978-3-642-34835-8
urn:nbn:de:swb:90-306193
KITopen-ID: 1000030619
Verlag Springer, Heidelberg
Abschlussart Dissertation
Fakultät Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU)
Institut Geodätisches Institut (GIK)
Prüfungsdatum 14.02.2012
Referent/Betreuer Prof. B. Heck
Externe Relationen Siehe auch
Schlagworte GPS stochastic model, observation weighting, temporal correlation modelling, signal-to-noise ratio (SNR), autoregressive moving average (ARMA) process
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