Springer Theses

GPS Stochastic Modelling

Signal Quality Measures and ARMA Processes

Authors: Luo, Xiaoguang

  • 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
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eBook $99.00
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  • ISBN 978-3-642-34836-5
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  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-34835-8
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  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 10, 2016
  • ISBN 978-3-662-51188-6
  • Free shipping for individuals worldwide
About this book

Global Navigation Satellite Systems (GNSS), such as GPS, have become an efficient, reliable and standard tool for a wide range of applications. However, when processing GNSS data, the stochastic model characterising the precision of observations and the correlations between them is usually simplified and incomplete, leading to overly optimistic accuracy estimates.

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.

About the authors

Xiaoguang Luo is currently a research associate at the Geodetic Institute of Karlsruhe Institute of Technology (KIT), Germany. He received his Ph.D. in Geodesy and Geoinformatics from KIT in 2012. He is interested in analysing the stochastic model, atmospheric and site-specific effects of GNSS observations, with a special focus on statistical testing and time series modelling.

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)

Table of contents (9 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-34836-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-34835-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 10, 2016
  • ISBN 978-3-662-51188-6
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
GPS Stochastic Modelling
Book Subtitle
Signal Quality Measures and ARMA Processes
Authors
Series Title
Springer Theses
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-34836-5
DOI
10.1007/978-3-642-34836-5
Hardcover ISBN
978-3-642-34835-8
Softcover ISBN
978-3-662-51188-6
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XXIII, 331
Number of Illustrations and Tables
2 b/w illustrations, 127 illustrations in colour
Topics