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GPS Stochastic Modelling by Xiaoguang Luo
GPS Stochastic Modelling by Xiaoguang Luo
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GPS Stochastic Modelling

Signal Quality Measures and ARMA Processes
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Description

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.

Author Biography:

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.
Release date NZ
September 27th, 2016
Author
Audience
  • Professional & Vocational
Edition
Softcover reprint of the original 1st ed. 2014
Illustrations
127 Illustrations, color; 2 Illustrations, black and white; XXIII, 331 p. 129 illus., 127 illus. in color.
Pages
331
Dimensions
155x235x19
ISBN-13
9783662511886
Product ID
26165727

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GPS Stochastic Modelling on Hardback by Xiaoguang Luo
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