Adaptive wavelet transform based on cross-validation method and its application to GPS multipath mitigation

P. Zhong, Xiaoli Ding, D. W. Zheng, Wu Chen, D. F. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

47 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)109-117
Number of pages9
JournalGPS Solutions
Volume12
Issue number2
DOIs
Publication statusPublished - 1 Mar 2008

Keywords

  • Cross-validation
  • GPS multipath mitigation
  • Wavelet filtering

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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