4.6 Article

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

Related references

Note: Only part of the references are listed.
Article Geochemistry & Geophysics

Analysis of the common model error on velocity field under Colored noise model by GPS and InSAR: A case study in the Nepal and everest region

Wei Xu et al.

Summary: The accuracy of the velocity field is influenced by noise model and common mode errors, particularly in the Nepal and Everest region. Various data and analysis methods were used to study the impact of these factors on velocity field accuracy.

GEODESY AND GEODYNAMICS (2022)

Article Environmental Sciences

A Comprehensive Analysis of Environmental Loading Effects on Vertical GPS Time Series in Yunnan, Southwest China

Shunqiang Hu et al.

Summary: This study comprehensively compared the effects of environmental loading models on seasonal variations in GPS vertical time series in Yunnan, China. The Cross Wavelet Transform method was used to analyze the relative phase relationship between GPS and environmental loading. The results showed that hydrological loading was the main factor and could explain both seasonal and annual variations.

REMOTE SENSING (2022)

Article Geochemistry & Geophysics

Robust estimation of spatially varying common-mode components in GPS time-series

Corne Kreemer et al.

Summary: The CMC Imaging method proposed in this study is fully automated and utilizes robust statistics, showing superior noise reduction compared to other approaches. By defining the spatial extent of the CMC as local as possible and avoiding subjective assignment of filter stations, the method achieves significant RMS reduction in vertical, east, and north components of GPS position time-series.

JOURNAL OF GEODESY (2021)

Article Remote Sensing

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

K. Zheng et al.

Summary: By utilizing a modified principal component analysis and sidereal filtering method, this study effectively separates and extracts common-mode error and multipath from high-rate GPS displacements, enhancing the precision of pinpoint positioning for large earthquake monitoring and providing potential advancements in fault-slip inversion and moment magnitude estimation in geophysics.

GPS SOLUTIONS (2021)

Article Environmental Sciences

Analysis of the Potential Contributors to Common Mode Error in Chuandian Region of China

Weijie Tan et al.

REMOTE SENSING (2020)

Article Geochemistry & Geophysics

GNSS related periodic signals in coordinate time-series from Precise Point Positioning

K. E. Abraha et al.

GEOPHYSICAL JOURNAL INTERNATIONAL (2017)

Article Geochemistry & Geophysics

Spatiotemporal filtering for regional GPS network in China using independent component analysis

Feng Ming et al.

JOURNAL OF GEODESY (2017)

Review Geochemistry & Geophysics

Review of current GPS methodologies for producing accurate time series and their error sources

Xiaoxing He et al.

JOURNAL OF GEODYNAMICS (2017)

Article Geosciences, Multidisciplinary

Detecting seasonal and long-term vertical displacement in the North China Plain using GRACE and GPS

Linsong Wang et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2017)

Article Engineering, Aerospace

Accuracy enhancement of GPS time series using principal component analysis and block spatial filtering

Xiaoxing He et al.

ADVANCES IN SPACE RESEARCH (2015)

Article Geochemistry & Geophysics

Crustal deformation on the Chinese mainland during 1998-2014 based on GPS data

Zhao Bin et al.

GEODESY AND GEODYNAMICS (2015)

Article Engineering, Marine

Single frequency multipath mitigation based on wavelet analysis

Mohammad Aram et al.

JOURNAL OF NAVIGATION (2007)

Article Geochemistry & Geophysics

Effect of annual signals on geodetic velocity -: art. no. 2145

G Blewitt et al.

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2002)