Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20753
Title: Adaptive wavelet transform based on cross-validation method and its application to GPS multipath mitigation
Authors: Zhong, P
Ding, XL 
Zheng, DW
Chen, W 
Huang, DF
Keywords: Cross-validation
GPS multipath mitigation
Wavelet filtering
Issue Date: 2008
Publisher: Springer
Source: GPS Solutions, 2008, v. 12, no. 2, p. 109-117 How to cite?
Journal: GPS solutions 
Abstract: Global positioning system (GPS) multipath disturbance is a bottleneck problem that limits the accuracy of precise GPS positioning applications. A method based on the technique of cross-validation for automatically identifying wavelet signal layers is developed and used for separating noise from signals in data series, and applied to mitigate GPS multipath effects. Experiments with both simulated data series and real GPS observations show that the method is a powerful signal decomposer, which can successfully separate noise from signals as long as the noise level is lower than about half of the magnitude of the signals. A multipath correction model is derived based on the proposed method and the sidereal day-to-day repeating property of GPS multipath signals to remove multipath effects on GPS observations and to improve the quality of the GPS measurements.
URI: http://hdl.handle.net/10397/20753
ISSN: 1080-5370
EISSN: 1521-1886
DOI: 10.1007/s10291-007-0071-y
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