scholarly journals Influences of Environmental Loading Corrections on the Nonlinear Variations and Velocity Uncertainties for the Reprocessed Global Positioning System Height Time Series of the Crustal Movement Observation Network of China

2018 ◽  
Vol 10 (6) ◽  
pp. 958 ◽  
Author(s):  
Peng Yuan ◽  
Zhao Li ◽  
Weiping Jiang ◽  
Yifang Ma ◽  
Wu Chen ◽  
...  
Keyword(s):  
Time Series ◽  
Global Positioning System ◽  
Crustal Movement ◽  
Positioning System ◽  
Environmental Loading ◽  
Movement Observation ◽  
Observation Network ◽  
Global Positioning

scholarly journals Harmonic Analysis of Multipath Index Time Series in GPS Stations

2015 ◽  
Vol 16 (1) ◽  
pp. 71
Author(s):  
Eniuce Menezes de Souza ◽  
Daniele Barroca Marra Alves ◽  
Fernanda Lang Schumacher
Keyword(s):  
Time Series ◽  
Harmonic Analysis ◽  
Global Positioning System ◽  
Seasonal Variations ◽  
Gps Data ◽  
Positioning System ◽  
Fisher Test ◽  
Multipath Effect ◽  
Global Positioning ◽  
Index Time Series

The identification of the cyclical and seasonal variations can be veryimportant in time series. In this paper, the aim is to identify the presence ofcyclical or seasonal variations in the indices of the multipath effect on continuousGPS (Global Positioning System) stations. Due to the model used to obtain theseindices, there should not have cyclical variations in these series, at least due to themultipath effect. In order to identify the presence of cyclical variations in theseseries, correlograms and Fourier periodograms were analyzed. The Fisher test forseasonality was applied to confirm the presence of statistical significant seasonality.In addition, harmonic models were adjusted to check in which months of the yearthe cyclical effects are occurring in the multipath indices. The possible causes ofthese effects are pointed out, which will direct the upcoming investigations, as wellas the analysis and correlations of other series. The importance of this analysisis mainly due to the fact that errors in the collected signals of these stations willdirectly influence the accuracy of the results of the whole community that directlyor indirectly uses GPS data.

Spatiotemporal noise in GPS position time-series from Crustal Movement Observation Network of China

2018 ◽  
Vol 216 (3) ◽  
pp. 1560-1577 ◽  
Author(s):  
Wei Wang ◽  
Xuejun Qiao ◽  
Dijin Wang ◽  
Zhengsong Chen ◽  
Pengfei Yu ◽  
...  
Keyword(s):  
Time Series ◽  
Crustal Movement ◽  
Movement Observation ◽  
Observation Network ◽  
Position Time Series ◽  
Spatiotemporal Noise

Contemporary velocity field of crustal movement of Chinese mainland from Global Positioning System measurements

2005 ◽  
Vol 50 (9) ◽  
pp. 939-941 ◽  
Author(s):  
Niu Zhijun ◽  
Wang Min ◽  
Sun Hanrong ◽  
Sun Jianzhong ◽  
You Xinzhao ◽  
...  
Keyword(s):  
Velocity Field ◽  
Global Positioning System ◽  
Chinese Mainland ◽  
Crustal Movement ◽  
Positioning System ◽  
Global Positioning

scholarly journals Research on a mixed prediction method to vehicle integrated navigation systems

2019 ◽  
Vol 16 (6) ◽  
pp. 172988141988525
Author(s):  
Di Zhao ◽  
Huaming Qian ◽  
Dingjie Xu
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Kalman Filter ◽  
Radial Basis Function ◽  
Global Positioning System ◽  
Basis Function ◽  
Unscented Kalman Filter ◽  
Positioning System ◽  
Global Positioning ◽  
Radial Basis

Aiming to improve the positioning accuracy of vehicle integrated navigation system (strapdown inertial navigation system/Global Positioning System) when Global Positioning System signal is blocked, a mixed prediction method combined with radial basis function neural network, time series analysis, and unscented Kalman filter algorithms is proposed. The method is composed by dual modes of radial basis function neural network training and prediction. When Global Positioning System works properly, radial basis function neural network and time series analysis are trained by the error between Global Positioning System and strapdown inertial navigation system. Furthermore, the predicted values of both radial basis function neural network and time series analysis are applied to unscented Kalman filter measurement updates during Global Positioning System outages. The performance of this method is verified by computer simulation. The simulation results indicated that the proposed method can provide higher positioning precision than unscented Kalman filter, especially when Global Positioning System signal temporary outages occur.

scholarly journals Effects of Spatiotemporal Filtering on the Periodic Signals and Noise in the GPS Position Time Series of the Crustal Movement Observation Network of China

2018 ◽  
Vol 10 (9) ◽  
pp. 1472 ◽  
Author(s):  
Peng Yuan ◽  
Weiping Jiang ◽  
Kaihua Wang ◽  
Nico Sneeuw
Keyword(s):  
Time Series ◽  
Velocity Field ◽  
Colored Noise ◽  
Environmental Loading ◽  
Movement Observation ◽  
Observation Network ◽  
Uncertainty Estimates ◽  
Position Time Series ◽  
Periodic Signals ◽  
Gps Velocity Field

Analysis of Global Positioning System (GPS) position time series and its common mode components (CMC) is very important for the investigation of GPS technique error, the evaluation of environmental loading effects, and the estimation of a realistic and unbiased GPS velocity field for geodynamic applications. In this paper, we homogeneously processed the daily observations of 231 Crustal Movement Observation Network of China (CMONOC) Continuous GPS stations to obtain their position time series. Then, we filtered out the CMC and evaluated its effects on the periodic signals and noise for the CMONOC time series. Results show that, with CMC filtering, peaks in the stacked power spectra can be reduced at draconitic harmonics up to the 14th, supporting the point that the draconitic signal is spatially correlated. With the colored noise suppressed by CMC filtering, the velocity uncertainty estimates for both of the two subnetworks, CMONOC-I (≈16.5 years) and CMONOC-II (≈4.6 years), are reduced significantly. However, the CMONOC-II stations obtain greater reduction ratios in velocity uncertainty estimates with average values of 33%, 38%, and 54% for the north, east, and up components. These results indicate that CMC filtering can suppress the colored noise amplitudes and improve the precision of velocity estimates. Therefore, a unified, realistic, and three-dimensional CMONOC GPS velocity field estimated with the consideration of colored noise is given. Furthermore, contributions of environmental loading to the vertical CMC are also investigated and discussed. We find that the vertical CMC are reduced at 224 of the 231 CMONOC stations and 170 of them are with a root mean square (RMS) reduction ratio of CMC larger than 10%, confirming that environmental loading is one of the sources of CMC for the CMONOC height time series.

scholarly journals Positioning Performance of BDS Observation of the Crustal Movement Observation Network of China and Its Potential Application on Crustal Deformation

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3353 ◽  
Author(s):  
Xiaoning Su ◽  
Guojie Meng ◽  
Haili Sun ◽  
Weiwei Wu
Keyword(s):  
Time Series ◽  
Crustal Deformation ◽  
Potential Application ◽  
Flicker Noise ◽  
Crustal Movement ◽  
Movement Observation ◽  
North East ◽  
Noise Characteristics ◽  
Observation Network ◽  
Position Time Series

The Crustal Movement Observation Network of China (CMONOC) has begun receiving BeiDou Navigation Satellite System (BDS) observations since 2015, and accumulated more than 2.5 years of data. BDS observations has been widely applied in many fields, and long-term continuous data provide a new strategy for the study of crustal deformation in China. This paper focuses on the evaluation of BDS positioning performance and its potential application on crustal deformation in CMONOC. According to the comparative analysis on multipath delay (MPD) and signal to noise ratio (SNR) between BDS and GPS data, the data quality of BDS is at the same level with GPS measurements in COMONC. The spatial distribution of BDS positioning accuracy evaluated as the root mean square (RMS) of daily residual position time series on horizontal component is latitude-dependent, declining with the increasing of station latitude, while the vertical one is randomly distributed in China. The mean RMS of BDS position residual time series is 7 mm and 22 mm on horizontal and vertical components, respectively, and annual periodicity in position time series can be identified by BDS data. In view of the accuracy of BDS positioning, there are no systematic differences between GPS and BDS results. Based on time series analysis with data volume being 2.5 years, the noise characteristics of BDS daily position time series is time-correlated and corresponding noise is white plus flicker noise model, and the derived mean RMS of the BDS velocities is 1.2, 1.5, and 4.1 mm/year on north, east, and up components, respectively. The imperfect performance of BDS positioning relative to GPS is likely attributed to the relatively low accuracy of BDS ephemeris, and the sparse amount of MEO satellites distribution in the BDS constellation. It is expectable to study crustal deformation in CMONOC by BDS with the gradual maturity of its constellation and the accumulation of observations.

scholarly journals Global Positioning System Interferometric Reflectometry for Accurate Tide Gauge Measurement: Insights from South Beach, Oregon, United States

2020 ◽  
Author(s):  
Kutubuddin Ansari ◽  
Tae-Suk Bae ◽  
Samed Inyurt
Keyword(s):  
Global Positioning System ◽  
Sea Water ◽  
Tide Gauge ◽  
Signal To Noise Ratio ◽  
Moving Average ◽  
Singular Spectrum Analysis ◽  
Autoregressive Moving Average ◽  
Positioning System ◽  
Observation Network ◽  
Global Positioning

Global Positioning System (GPS) stations located along coastal areas have the ability to measure tide gauge (TG) records by reflected signal reception from the sea water surface. In this study we used the GPS signal-to-noise ratio (SNR) data from the SEPT station (44.63 ⁰N, 124.05 ⁰W) located at South Beach, Oregon, USA, to estimate the TG records using only a few measurements. First, we derived the TG record from a GPS station (GPS-TG) and used traditional TG data from the National Water Level Observation Network (NWLON) sentinel station (Station ID: 9435380) located in Oregon for validation purposes because it was closest to the SEPT station. Our results show that the GPS-TG and NWLON-TG correlate well with the correlation coefficient (CC) of 0.942 and the root mean square (RMS) of their residuals was about 12.90 cm. The corresponding TG prediction by autoregressive moving average (ARMA-TG) and singular spectrum analysis (SSA-TG) models are evaluated for their effectiveness over the station. The comparative analysis demonstrates that the GPS-TG has improved correlation with ARMA-TG (CC of ~0.981 CC, RMS of ~4.80 cm), and SSA-TG (CC of ~0.998 CC, RMS of ~ 0.88 cm) compared to the NWLON-TG (CC of ~0.942 CC, RMS of ~12.90 cm) values. We believe the outcomes from this study contribute to a better understanding of the numerical modeling of TG records as well as other measurements based on reflectometry techniques.

scholarly journals Reprocessed height time series of GPS stations at tide gauges

2012 ◽  
Vol 4 (2) ◽  
pp. 1025-1067
Author(s):  
S. Rudenko ◽  
N. Schön ◽  
M. Uhlemann ◽  
G. Gendt
Keyword(s):  
Time Series ◽  
Global Positioning System ◽  
Tide Gauge ◽  
Time Span ◽  
Positioning System ◽  
Tide Gauges ◽  
Sea Level Changes ◽  
Global Positioning ◽  
Global Sea Level ◽  
Continuous Gps

Abstract. Precise weekly positions of 403 Global Positioning System (GPS) stations located worldwide are obtained by reprocessing GPS data of these stations at the time span from 4 January 1998 until 29 December 2007. The used processing algorithm and models as well as the solution and results obtained are presented. Vertical velocities of GPS stations having tracking history longer than 2.5 yr are computed and compared with the estimates from the colocated tide gauges and other GPS solutions. Examples of typical behavior of station height changes are given and interpreted. The derived time series and vertical motions of continuous GPS at tide gauges stations can be used for correcting tide gauge estimates of regional and global sea level changes.

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