Movement Detection Based on High-Precision Estimates of Instantaneous GNSS Station Velocity
Publication: Journal of Surveying Engineering
Volume 145, Issue 3
Abstract
This paper deals with the detection of small movements of a global navigation satellite system (GNSS) station by means of high-precision estimates of the instantaneous station velocity. The aim is to detect hazardous displacements in real time in order to quickly provide movement information to facilitate a GNSS monitoring system. The station velocities are deduced from time derivatives of GNSS carrier phase measurements. On the basis of epochwise estimates of station velocity, potential movements can be detected by using a statistical hypothesis test. The results from an experimental data set show that the obtainable accuracies of the estimated velocity components can reach a level of a few tenths of a mm/s (1 sigma) and also that it is possible to detect movements on the sub-mm/s level with a high statistical significance. In order to enhance the reliability of the movement detection and to support decision making, two decision criteria extending over several epochs are proposed. The algorithm works in a standalone mode, which means that no data from a reference station or any other external link is needed.
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Acknowledgments
This work is embedded within the project X-Sense2, funded by the program nano-tera of the Swiss National Science Foundation (SNF). We thank the two anonymous reviewers for their valuable comments.
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Published In
Journal of Surveying Engineering
Volume 145 • Issue 3 • August 2019
Copyright
© 2019 American Society of Civil Engineers.
History
Received: Apr 27, 2018
Accepted: Oct 9, 2018
Published online: Jun 12, 2019
Published in print: Aug 1, 2019
Discussion open until: Nov 12, 2019
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