Common-mode error and multipath mitigation for subdaily crustal deformation monitoring with high-rate GPS observations

Zheng, Kai; Zhang, Xia; Sang, Jizhang; Zhao, Yingwen; Wen, Guoyuan; Guo, Fei

doi:10.1007/s10291-021-01095-1

Cited by 11 publications

(3 citation statements)

References 32 publications

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“…The carrier-phase residuals show similar fluctuations at the six stations, ranging from 17.5 to 18.5 h. Due to the relatively long distances between stations, the presence of fluctuations cannot be solely attributed to the similar environments at each station. Referring to the relevant inferences by Zheng et al [2] in coordinate domains, the CME could have been mainly caused by satellite orbit and clock errors, as well as the components of unmodeled errors, which deteriorated the multipath modeling to some extent. Due to the larger measurement noise, the CME was not evident in the same period in the pseudorange residuals, as shown in Figure 6.…”

Section: Effectiveness Of Multipath Mitigationmentioning

confidence: 96%

“…Global navigation satellite system (GNSS) precise point positioning (PPP) is a reliable and resilient technique that is extensively employed in applications requiring high-precision positioning [1]. However, the long convergence time of at least 30 min needed for GPS to achieve centimeter-level positioning accuracy severely affects the efficiency of crustal deformation monitoring [2], seismic waveform acquisition [3], and real-time water vapor monitoring [4]. To advance the use of PPP in applications that require quick positioning, it is crucial to reduce the convergence time and improve accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Performance of Multipath Mitigation for Multi-GNSS Precise Point Positioning Ambiguity Resolution

Zheng,

Tan,

Liu

et al. 2023

Remote Sensing

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Real-time GNSS PPP is commonly used for high-precision positioning, but its utility is constrained by factors that necessitate extended convergence periods for a dependable accuracy. Multipath, as an unmodeled error, significantly curtails PPP performance in time-constrained scenarios. Approximately 31 consecutive days of multi-GNSS data from the satellite positioning service of the German national survey (SAPOS) network were collected to evaluate the effectiveness of multipath correction for real-time PPP ambiguity resolution (AR). Using principal component analysis (PCA) to extract the common-mode error (CME) from observation residuals prior to multipath modeling, a multipath hemispherical map (MHM) and sidereal filtering (SF) approach were employed to alleviate the effects of multipath and assess the efficacy of multipath correction in real-time PPP-AR. The average RMS reductions of the carrier-phase and pseudorange residual of multi-GNSS were 25.5% and 20.1% with MHM 0.5, while being 24.4% and 18.3% using SF. With MHM 0.5 correction, the TTFF reductions were approximately 7.0%, 17.7%, 37.5%, and 23.7% for G/GE/GC/GEC kinematic PPP-AR, respectively; and the convergence times for G/GE/GC PPP-AR were reduced to 18.2, 11.7, and 8.6 min, while GEC achieved an average convergence time of 7.1 min; a remarkable improvement compared to the multipath-uncorrected result (18 min). Moreover, 80% of the stations achieved convergence within 10 min, while 40% achieved convergence within 5 min. The kinematic positioning accuracy for the GEC solution improved from 0.97, 0.88, and 2.07 cm, to 0.94, 0.70, and 1.72 cm. In the static results, the TTFF shortened by 30.1%, 19.1%, and 20.1% for G/GE/GC, and the GEC decreased from 10.5 to 9.7 min; the average convergence time for G/GE/GC shortened to 13.0, 10.0, and 11.3 min, and for GEC shortened from 12.5 to 8.3 min. For the GPS-only solution, 78.3% of stations achieved convergence within 15 min. Similarly, for the GE scheme, the convergence time was primarily concentrated within 10 min, and for GC and GEC, with the application of enhanced multipath error correction, some of the stations even achieved convergence of PPP-AR within 5 min. The static positioning accuracy for GEC PPP was 0.50, 0.30, and 0.71 cm for the east, north, and up components.

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Section: Effectiveness Of Multipath Mitigationmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Assessing the Performance of Multipath Mitigation for Multi-GNSS Precise Point Positioning Ambiguity Resolution

Zheng,

Tan,

Liu

et al. 2023

Remote Sensing

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“…The elimination of CME can weaken the inter-station correlation of the GPS network. We select the PCA approach as the spatial filtering method to extract CME because it can directly extract CME from each station without the need for a priori assumptions (Shen et al, 2014;Zheng et al, 2021). The PCA method is a decomposition method that constructs an orthogonal basis based on the data itself.…”

Section: Pca Fundamentalsmentioning

confidence: 99%

Effects of different seasonal fitting methods on the spatial distribution characteristics of common mode errors

et al. 2023

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This study investigated the effects of various seasonal fitting techniques on the spatial distribution of the common mode errors taking the coordinate time series of the continuous GPS reference stations of the Crustal Movement Observation Network of China (CMONOC) as an example. First, the seasonal term of coordinate time series was calculated using constant amplitude harmonic fitting (CAF), continuous wavelet transform (CWT), and smoothing spline fitting (SPF). The seasonal term and linear trend were then removed to obtain the residual time series. Finally, to determine the common mode errors of residual time series, principal component analysis (PCA) was applied. The results indicate that 1) smoothing spline fitting is superior to constant amplitude harmonic fitting and continuous wavelet transform in its ability to fit short-term irregular seasonal signals. In comparison to constant amplitude harmonic fitting, N/E/U has root mean square error (RMSE) values of smoothing spline fitting that are lower by 25%, 20%, and 14.4%, respectively. Smoothing spline fitting also has a higher coefficient of determination than continuous wavelet transform and constant amplitude harmonic fitting. The coefficient of determination in the U direction is larger than that in the N and E directions. 2) Each order PC of the residual series fitted by smoothing spline fitting exhibits apparent spatial aggregation characteristics, with PC1 having a uniform spatial distribution and presenting a largely positive response. Nevertheless, the residual series obtained by constant amplitude harmonic fitting and continuous wavelet transform exhibits scattered spatial response distribution features in each order PC. Compared to N and E, U’s spatial response distribution is distinct. From north to south, the spatial response of PC1 in the U direction progressively diminishes. In addition to being much lower than that in other locations, the Sichuan–Yunnan region’s spatial response value of PC1 and PC3 also exhibits a clear negative reaction. The root mean square error value of the residual series after smoothing spline fitting is the least, and the filtering effect is the best when comparing the spatial filtering effect based on the three fitting methods. We also compared the root mean square error reduction ratio before and after spatial filtering, and the results showed that the root mean square error reduction ratio before and after the residual series obtained by smoothing spline fitting is slightly larger than that obtained by other methods.

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First results using high-rate BDS-3 observations: retrospective real-time analysis of 2021 Mw 7.4 Madoi (Tibet) earthquake

Zheng

Liu

Zhang

et al. 2022

J Geod

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Common-mode error and multipath mitigation for subdaily crustal deformation monitoring with high-rate GPS observations

Cited by 11 publications

References 32 publications

Assessing the Performance of Multipath Mitigation for Multi-GNSS Precise Point Positioning Ambiguity Resolution

Assessing the Performance of Multipath Mitigation for Multi-GNSS Precise Point Positioning Ambiguity Resolution

Effects of different seasonal fitting methods on the spatial distribution characteristics of common mode errors

First results using high-rate BDS-3 observations: retrospective real-time analysis of 2021 Mw 7.4 Madoi (Tibet) earthquake

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