Journal ArticleDOI
Filtering GPS time-series using a Vondrak filter and cross-validation
TLDR
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.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.read more
Citations
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Journal ArticleDOI
Mitigation of multipath effect in GNSS short baseline positioning by the multipath hemispherical map
TL;DR: This work focuses on the spatial–temporal repeatability-based MHM and SF/ASF approaches and compares their performances for multipath reduction, finding that the MHM model is easier to implement for real-time multipath mitigation when the overall multipath regime is medium to low frequency.
Journal ArticleDOI
GPS sidereal filtering: coordinate- and carrier-phase-level strategies
TL;DR: In this paper, the authors show that although the error-repeat lag may vary with time, such variation is marginal and there is little advantage in using a satellite-specific or other time-varying lag in double-difference processing.
Journal ArticleDOI
Sidereal filtering based on single differences for mitigating GPS multipath effects on short baselines
TL;DR: Wavelet spectra have shown that the proposed sidereal filtering algorithm is more effective in mitigating multipath errors of both long and short periods and is applicable when different GPS satellites are observed on different days.
Journal ArticleDOI
Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing
TL;DR: In this article, an innovative multimode adaptive filtering (MAF) that combining adaptive filter with Chebyshev highpass filter was used to identify the dynamic displacements of the bridge from the multimode GNSS data.
Journal ArticleDOI
Groundwater Depletion in the West Liaohe River Basin, China and Its Implications Revealed by GRACE and In Situ Measurements
TL;DR: This study demonstrates the significance of integrating satellite observations, ground-based measurements, and climatological data for interpreting regional GWS changes from a long-term perspective.
References
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TL;DR: In this article, a generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescription, and examples used to illustrate the application are drawn from the problem areas of univariate estimation, linear regression and analysis of variance.
Journal ArticleDOI
Book Review: GPS theory and practice. Second Edition, HOFFMANNWELLENHOFF B., LICHTENEGGER H. and COLLINS J., 1993, 326 pp., Springer, £31.00 pb, ISBN 3-211-82477-4
Journal ArticleDOI
Theory and Performance of Narrow Correlator Spacing in a GPS Receiver
TL;DR: This paper presents the derivation of these narrow correlator spacing improvements, verified by simulated and tested performance.
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Computational signal processing with wavelets
TL;DR: This unique resource examines the conceptual, computational, and practical aspects of applied signal processing using wavelets to understand and use the power and utility of new wavelet methods in science and engineering problems and analysis.