Correlated errors in GPS position time series: Implications for velocity estimates
By A. Santamaría‐Gómez, M. Bouin, Xavier Collilieux, G. Wöppelmann. 2011
239 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Astronomy and Astrophysics, Oceanography
View Paper: https://www.semanticscholar.org/paper/7501a0d4fd35e9e565d699f2b4eb6cfc7f4b0976
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
- Urs Hugentobler
- Peter Steigenberger
- Alireza Amiri-Simkooei
- M. Fritsche
- Mathis Bloßfeld
- Carlos Rodríguez-Solano
- Ksenia Dmitrieva
- Paul Segall
In Astronomy and Astrophysics
- Peter Steigenberger
- Urs Hugentobler
- M. Fritsche
- Mathis Bloßfeld
- Carlos Rodríguez-Solano
- Alireza Amiri-Simkooei
- Luísa Ferreira Bastos
- Simon D. P. Williams
In Oceanography
- Urs Hugentobler
- Peter Steigenberger
- Alireza Amiri-Simkooei
- M. Fritsche
- Mathis Bloßfeld
- Carlos Rodríguez-Solano
- Ksenia Dmitrieva
- Paul Segall
Citations in the corpus
- On the nature of GPS draconitic year periodic pattern in multivariate position time series (2013, background): “Figure 3 shows that the estimated spectrum for the first harmonic is flattened to some extent, in agreement with the findings of Santamaría-Gómez et al. [2011] where the detected signals were more scattered at lower frequencies.”
- 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).”
- Fast error analysis of continuous GNSS observations with missing data (2013, methodology): “Equation (25) was derived by Trench (1964) and Gohberg and Semencul (1972), and can be used the solve each unknown column vector in Eqs.”
- Network-based estimation of time-dependent noise in GPS position time series (2015, background): “Time-dependent noise can be roughly estimated from a power spectrum of the GPS time series (Langbein and Johnson 1997; Zhang et al. 1997; Santamaría-Gómez et al. 2011).”
- Detecting time-varying seasonal signal in GPS position time series with different noise levels (2017, background): “This noise has a significant impact on the uncertainty of velocity (Zhang et al. 1997; Williams et al. 2004; Santamaría-Gómez et al. 2011; Bogusz and Kontny 2011).”
- Non-negative least-squares variance component estimation with application to GPS time series (2016, methodology): “We may refer to e.g., Bischoff et al. (2005, 2006), Tiberius and Kenselaar (2000, 2003), Wang et al. (1998, 2002), Satirapod et al. (2002), Schön and Brunner (2008), Amiri-Simkooei et al. (2009, 2013) in which different estimation principles have been used.”