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.
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Acknowledgments
The work was supported by the Research Grants Council of the Hong Kong Special Administrative Region (Grant No.: PolyU 5148/04E). The scholarship awarded to P. Zhong by the Hong Kong Polytechnic University is also appreciated. We thank the anonymous reviewers for helpful review comments that substantially improved this manuscript.
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Zhong, P., Ding, X.L., Zheng, D.W. et al. Adaptive wavelet transform based on cross-validation method and its application to GPS multipath mitigation. GPS Solut 12, 109–117 (2008). https://doi.org/10.1007/s10291-007-0071-y
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DOI: https://doi.org/10.1007/s10291-007-0071-y