Performance Evaluation of Algorithms for the On-line GPS Quality Control

Stelios P. Mertikas and Kosmas I. Damianidis

Abstract:	This paper evaluates the performance of algorithms for monitoring the quality of GPS station coordinates in realtime kinematic applications. The detection of failures or changes of small magnitude in GPS solutions is critical for applications requiring continuous and reliable results. Examples include real-time deformation monitoring for dams, high-rise buildings, bridges, earth surface tectonic movements, landslides, etc. This work presents the application of various monitoring schemes from the Statistical Process Control. The cumulative sums (Cusum), the robustified and self-starting Cusums, the adaptive Cusum and the exponential weighted moving average are some of the control charts applied to RTK data. Observations have initially assumed to be independent and follow a normal distribution, but later their serial correlation has been taken into consideration. Comparative results show that the self-starting but robustified Cusums as well as the exponentially weighted moving average charts are suitable and efficient tools in monitoring quality in the RTK data, assuming that an anticipated change varies between 0.5 to 2 standard deviations from a target mean value.
Published in:	Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005) September 13 - 16, 2005 Long Beach Convention Center Long Beach, CA
Pages:	1069 - 1078
Cite this article:	Mertikas, Stelios P., Damianidis, Kosmas I., "Performance Evaluation of Algorithms for the On-line GPS Quality Control," Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005), Long Beach, CA, September 2005, pp. 1069-1078.
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