Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27996
Title: Filtering GPS time-series using a Vondrak filter and cross-validation
Authors: Zheng, DW
Zhong, P
Ding, XL 
Chen, W 
Keywords: Cross-validation
GPS multipath signals
Vondrak filtering
Issue Date: 2005
Publisher: Springer
Source: Journal of geodesy, 2005, v. 79, no. 6-7, p. 363-369 How to cite?
Journal: Journal of geodesy 
Abstract: Multipath disturbance is one of the most important error sources in high-accuracy global positioning system (GPS) positioning and navigation. A new data filtering method, based on the Vondrak filter and the technique of cross-validation, is developed for separating signals from noise in data series, and applied to mitigate GPS multipath effects in applications such as deformation monitoring. Both simulated data series and real GPS observations are used to test the proposed method. It is shown that the method can be used to successfully separate signals from noise at different noise levels, and for varying signal frequencies as long as the noise level is lower than the magnitude of the signals. A multipath model can be derived, based on the current-day GPS observations, with the proposed method and used to remove multipath errors in subsequent days of GPS observations when taking advantage of the sidereal day-to-day repeating characteristics of GPS multipath signals. Tests have shown that the reduction in the root mean square (RMS) values of the GPS errors ranges from 20% to 40% when the method is applied.
URI: http://hdl.handle.net/10397/27996
ISSN: 0949-7714
EISSN: 1432-1394
DOI: 10.1007/s00190-005-0474-x
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