Authors:
- Outstanding doctoral thesis nominated for a Springer Theses Prize by Karlsruhe Institute of Technology, Germany
- This work is a key step towards a realistic GNSS stochastic model, and provides good examples of statistical verification and physical interpretation of results
- This thesis gives an up-to-date overview of the GNSS error effects and a comprehensive description of the mathematical models
- Various statistical tests and methods of time series analysis are included, which can be applied in other research fields
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
This work extends the stochastic model using signal-to-noise ratio (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 autoregressive moving average (ARMA) processes. Furthermore, this work includes an up-to-date overview of the GNSS error effects and a comprehensive description of various mathematical methods.
Reviews
From the reviews:
“The book is mathematical in that it is intended for readers who have a working knowledge of mathematical tools for communications systems. While the book is reasonably self-contained in terms of reviewing mathematical prerequisites and giving a broad view of the physical elements affecting GPS performance, at a technical level it is really intended for readers interested in designing components of GPS systems, or in policies pertaining to GPS systems.” (Joseph D. Lakey, Mathematical Reviews, March, 2014)Authors and Affiliations
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, Geodetic Institute, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Xiaoguang Luo
About the author
Bibliographic Information
Book Title: GPS Stochastic Modelling
Book Subtitle: Signal Quality Measures and ARMA Processes
Authors: Xiaoguang Luo
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-642-34836-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-34835-8Published: 29 July 2013
Softcover ISBN: 978-3-662-51188-6Published: 27 September 2016
eBook ISBN: 978-3-642-34836-5Published: 06 July 2013
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXIII, 331
Number of Illustrations: 2 b/w illustrations, 127 illustrations in colour
Topics: Remote Sensing/Photogrammetry, Mathematical Applications in the Physical Sciences, Signal, Image and Speech Processing