Comparing Different Global Positioning System Data Processing Techniques for Modeling Residual Systematic Errors
Publication: Journal of Surveying Engineering
Volume 129, Issue 4
Abstract
In the case of traditional Global Positioning System (GPS) data processing algorithms, systematic errors in GPS measurements cannot be eliminated completely, nor accounted for satisfactorily. These systematic errors can have a significant effect on both the ambiguity resolution process and the GPS positioning results. Hence this is a potentially critical problem for high precision GPS positioning applications. It is therefore necessary to develop an appropriate data processing algorithm which can effectively deal with systematic errors in a nondeterministic manner. Recently several approaches have been suggested to mitigate the impact of systematic errors on GPS positioning results: the semiparametric model, the use of wavelets, and new stochastic modeling techniques. These approaches use different bases and have different implications for data processing. This paper aims to compare the above three methods, in both the theoretical and numerical sense.
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Information & Authors
Information
Published In
Journal of Surveying Engineering
Volume 129 • Issue 4 • November 2003
Pages: 129 - 135
Copyright
Copyright © 2003 American Society of Civil Engineers.
History
Received: Oct 22, 2001
Accepted: Sep 3, 2002
Published online: Oct 15, 2003
Published in print: Nov 2003
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