Long GPS coordinate time series: Multipath and geometry effects
By Matt A. King, Christopher Stephen Watson. 2009
135 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Astronomy and Astrophysics, Oceanography
View Paper: https://www.semanticscholar.org/paper/83d61da1450e0cddc38b8684f6ba97f3a29e5acb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Alireza Amiri-Simkooei
- Peter Steigenberger
- Urs Hugentobler
- M. Fritsche
- Carlos Rodríguez-Solano
- Mathis Bloßfeld
- Ksenia Dmitrieva
- Paul Segall
In Astronomy and Astrophysics
- Alireza Amiri-Simkooei
- Peter Steigenberger
- Urs Hugentobler
- M. Fritsche
- Carlos Rodríguez-Solano
- Mathis Bloßfeld
- G. Wöppelmann
- A. Santamaría‐Gómez
In Oceanography
- Alireza Amiri-Simkooei
- Peter Steigenberger
- Urs Hugentobler
- Carlos Rodríguez-Solano
- M. Fritsche
- Mathis Bloßfeld
- Ksenia Dmitrieva
- Paul Segall
Citations in the corpus
- Reducing the draconitic errors in GNSS geodetic products (2014, background): “– Station coordinates (Ray et al. 2008; Collilieux et al. 2007; Amiri-Simkooei 2007; Tregoning and Watson 2009; King and Watson 2010; Santamaría-Gómez et al. 2011; Rodriguez-Solano et al. 2012a; Ostini 2012).”
- Network-based estimation of time-dependent noise in GPS position time series (2015, background): “The origin of flicker noise is less clear, but time-variable satellite geometry, long-term orbit mismodeling, and multipath have been suggested as possible contributors (King and Watson 2010; Ray et al. 2008; Jiang et al. 2014).”
- Correlated errors in GPS position time series: Implications for velocity estimates (2011, background): “…within the GPS data processing, and station‐dependent effects like monument instability [King and Williams, 2009] or near‐field multipath [e.g., King and Watson, 2010; F. Dilssner et al., Impact of near‐field effects on the GNSS position solution, paper presented at 21st International…”
- On the nature of GPS draconitic year periodic pattern in multivariate position time series (2013, background): “These mappings may be driven by orbit mismodeling, atmospheric loading, or stationdependent multipath errors [Ray et al., 2008; AmiriSimkooei et al., 2007; Tregoning and Watson, 2009; King and Watson, 2010; Santamaría-Gómez et al., 2011].”
- Non-negative least-squares variance component estimation with application to GPS time series (2016, background): “The functional part of themodel takes the linear regressionmodel plus the annual and semi-annual signals plus signals with the draconitic year period and its harmonics (Ray et al. 2008; Collilieux et al. 2007; Amiri-Simkooei et al. 2007; King and Watson 2010; Santamaría-Gómez et al. 2011; Amiri-Simk”