An Ambiguity Free Model for Deformation Detection with GPS

X. Zhang, J. Liu, Z. Li

Abstract:	An ambiguity free model for deformation extraction from CMO (Computed double-differenced observation Minus Observed double-differenced observation) observations directly is proposed. The model is based on double-differenced mode, and limited to short-range baseline presently. The proposed model has two significant advantages over traditional way. Cycle slip detecting and repairing are not necessary, but also intractable ambiguity resolution can be avoided in the data processing. The performance of the proposed model has been validated using field data set collected on a baseline about 1 kilometer with 10 seconds interval. The preliminary result indicates that the new mathematic model and algorithm are correct and effective, and shows that the deformation vector estimates are at the accuracy of millimeter with two hours data set. A software package is developed to implement the proposed methodology.
Published in:	Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003) September 9 - 12, 2003 Oregon Convention Center Portland, OR
Pages:	2617 - 2621
Cite this article:	Zhang, X., Liu, J., Li, Z., "An Ambiguity Free Model for Deformation Detection with GPS," Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003), Portland, OR, September 2003, pp. 2617-2621.
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