GPS Stochastic Modelling - Signal Quality Measures and ARMA Processes (Hardcover, 2014 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Theses
Release date:	July 2013
First published:	2014
Authors:	Xiaoguang Luo
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	331
Edition:	2014 ed.
ISBN-13:	978-3-642-34835-8
Categories:	Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-642-34835-1
Barcode:	9783642348358

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