The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform
Wu Chen - One of the best experts on this subject based on the ideXlab platform.
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An Adaptive Wavelet Transform Based on Cross-validation and Its Application to Mitigate GPS Multipath Effects
2007Co-Authors: Ping Zhong, Xiaoli Ding, Da Wei Zheng, Wu Chen, Dingfa HuangAbstract:GPS multipath disturbance is a bottleneck problem that limits accuracy of Global Positioning System(GPS) positioning.A method based on the technique of cross-validation to automatically identify wavelet signal layers is developed 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 can be derived with the proposed method and the Sidereal Day-to-Day repeating property of GPS multipath signals can be used to remove multipath effects in subsequent Days of GPS observations,and therefore improve the quality of the GPS results.
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Adaptive wavelet transform based on cross-validation method and its application to GPS multipath mitigation
GPS Solutions, 2007Co-Authors: Ping Zhong, Xiaoli Ding, Wu Chen, Dunyong Zheng, Dingfa HuangAbstract: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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Analysis of variations of GPS multipath Sidereal Day-to-Day repeatability based on CVVF method
2005Co-Authors: Ping Zhong, Xiaoli Ding, Wujiao Dai, Da Wei Zheng, Wu Chen, Y.q. ChenAbstract:18th International Technical Meeting of the Satellite Division of The Institute of Navigation, ION GNSS 2005, Long Beach, CA, 13-16 September 2005
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Filtering GPS time-series using a Vondrak filter and cross-validation
Journal of Geodesy, 2005Co-Authors: Dawei Zheng, Ping Zhong, Xiaoli Ding, Wu ChenAbstract: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.
Ping Zhong - One of the best experts on this subject based on the ideXlab platform.
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An Adaptive Wavelet Transform Based on Cross-validation and Its Application to Mitigate GPS Multipath Effects
2007Co-Authors: Ping Zhong, Xiaoli Ding, Da Wei Zheng, Wu Chen, Dingfa HuangAbstract:GPS multipath disturbance is a bottleneck problem that limits accuracy of Global Positioning System(GPS) positioning.A method based on the technique of cross-validation to automatically identify wavelet signal layers is developed 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 can be derived with the proposed method and the Sidereal Day-to-Day repeating property of GPS multipath signals can be used to remove multipath effects in subsequent Days of GPS observations,and therefore improve the quality of the GPS results.
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Adaptive wavelet transform based on cross-validation method and its application to GPS multipath mitigation
GPS Solutions, 2007Co-Authors: Ping Zhong, Xiaoli Ding, Wu Chen, Dunyong Zheng, Dingfa HuangAbstract: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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Analysis of variations of GPS multipath Sidereal Day-to-Day repeatability based on CVVF method
2005Co-Authors: Ping Zhong, Xiaoli Ding, Wujiao Dai, Da Wei Zheng, Wu Chen, Y.q. ChenAbstract:18th International Technical Meeting of the Satellite Division of The Institute of Navigation, ION GNSS 2005, Long Beach, CA, 13-16 September 2005
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Filtering GPS time-series using a Vondrak filter and cross-validation
Journal of Geodesy, 2005Co-Authors: Dawei Zheng, Ping Zhong, Xiaoli Ding, Wu ChenAbstract: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.
Xiaoli Ding - One of the best experts on this subject based on the ideXlab platform.
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An Adaptive Wavelet Transform Based on Cross-validation and Its Application to Mitigate GPS Multipath Effects
2007Co-Authors: Ping Zhong, Xiaoli Ding, Da Wei Zheng, Wu Chen, Dingfa HuangAbstract:GPS multipath disturbance is a bottleneck problem that limits accuracy of Global Positioning System(GPS) positioning.A method based on the technique of cross-validation to automatically identify wavelet signal layers is developed 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 can be derived with the proposed method and the Sidereal Day-to-Day repeating property of GPS multipath signals can be used to remove multipath effects in subsequent Days of GPS observations,and therefore improve the quality of the GPS results.
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Adaptive wavelet transform based on cross-validation method and its application to GPS multipath mitigation
GPS Solutions, 2007Co-Authors: Ping Zhong, Xiaoli Ding, Wu Chen, Dunyong Zheng, Dingfa HuangAbstract: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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Analysis of variations of GPS multipath Sidereal Day-to-Day repeatability based on CVVF method
2005Co-Authors: Ping Zhong, Xiaoli Ding, Wujiao Dai, Da Wei Zheng, Wu Chen, Y.q. ChenAbstract:18th International Technical Meeting of the Satellite Division of The Institute of Navigation, ION GNSS 2005, Long Beach, CA, 13-16 September 2005
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Filtering GPS time-series using a Vondrak filter and cross-validation
Journal of Geodesy, 2005Co-Authors: Dawei Zheng, Ping Zhong, Xiaoli Ding, Wu ChenAbstract: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.
Mark Hammond - One of the best experts on this subject based on the ideXlab platform.
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Atmospheric Circulation of Tide-Locked Exoplanets
Annual Review of Fluid Mechanics, 2019Co-Authors: Raymond T. Pierrehumbert, Mark HammondAbstract:Tide-locked planets are planets in which tidal stresses from the host star have spun down the planet's rotation to the point where its length of Sidereal Day equals its length of year. In a nearly ...
Dingfa Huang - One of the best experts on this subject based on the ideXlab platform.
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An Adaptive Wavelet Transform Based on Cross-validation and Its Application to Mitigate GPS Multipath Effects
2007Co-Authors: Ping Zhong, Xiaoli Ding, Da Wei Zheng, Wu Chen, Dingfa HuangAbstract:GPS multipath disturbance is a bottleneck problem that limits accuracy of Global Positioning System(GPS) positioning.A method based on the technique of cross-validation to automatically identify wavelet signal layers is developed 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 can be derived with the proposed method and the Sidereal Day-to-Day repeating property of GPS multipath signals can be used to remove multipath effects in subsequent Days of GPS observations,and therefore improve the quality of the GPS results.
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Adaptive wavelet transform based on cross-validation method and its application to GPS multipath mitigation
GPS Solutions, 2007Co-Authors: Ping Zhong, Xiaoli Ding, Wu Chen, Dunyong Zheng, Dingfa HuangAbstract: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.