Journal ArticleDOI
Review of current GPS methodologies for producing accurate time series and their error sources
Xiaoxing He,Xiaoxing He,Jean-Philippe Montillet,Rui Fernandes,Rui Fernandes,Machiel Bos,Kegen Yu,Xianghong Hua,Weiping Jiang +8 more
TLDR
In this article, the authors provide a review spanning over 25 years of advances in processing strategies, error mitigation methods and noise modeling for the processing and analysis of GPS daily position time series.About:
This article is published in Journal of Geodynamics.The article was published on 2017-05-01. It has received 88 citations till now. The article focuses on the topics: Global Positioning System & Ranging.read more
Citations
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The time-domain behavior of power-law noises. [of many geophysical phenomena]
TL;DR: In this article, a simple expression for the root-mean square variability of a process with such a spectrum over an interval of time or space is derived, which yields the power-law time dependence characteristic of fractal processes, but can be generalized to give the temporal variability for more general spectral behaviors.
Long GPS coordinate time series: multipath and geometry effects
Matt A. King,Christopher Watson +1 more
TL;DR: In this article, the effects of time-variable satellite geometry and the propagation of an unmodelled multipath signal on GPS coordinate time series are examined and the authors conclude that the time variable nature of GPS observation geometry and satellite orbits combined with a spurious signal that is manifested as an elevation dependent bias can introduce a potential significant contributor to time-correlated noise present in GPS time series.
Journal ArticleDOI
Investigation of the noise properties at low frequencies in long GNSS time series
Xiaoxing He,Xiaoxing He,Machiel Bos,Jean-Philippe Montillet,Jean-Philippe Montillet,Rui Fernandes +5 more
TL;DR: In this article, the authors investigate whether alternative noise models should be considered using the log-likelihood, Akaike and Bayesian information criteria, and find that for 80-90% of the stations, the preferred noise models are still the power law or flicker noise with white noise.
香港GPS基准站坐标序列特征分析 = Characteristics of daily position time series from the Hong Kong GPS fiducial network
TL;DR: In this article, a spatial filtering algorithm based on principal component analysis is employed to remove the common mode errors from the daily position time series, which can be described as a combination of variable white noise and flicker noise.
Journal ArticleDOI
GPS Vertical Land Motion Corrections to Sea‐Level Rise Estimates in the Pacific Northwest
TL;DR: In this article, the authors construct coastal Pacific Northwest profiles of vertical land motion (VLM) known to bias long-term tide-gauge measurements of sea-level rise (SLR) and use them to estimate absolute sea level rise with respect to Earth's center of mass.
References
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Journal ArticleDOI
A new look at the statistical model identification
TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Book
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.