Estimation of velocity uncertainties from GPS time series: Examples from the analysis of the South African TrigNet network

By M. Hackl, Rocco Malservisi, Urs Hugentobler, R. Wonnacott. 2011

90 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atomic and Molecular Physics, and Optics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/5958ae08d87138037524f054e7202f7f7f2ef931

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

1. Machiel Simon Bos
2. Ksenia Dmitrieva
3. Luísa Ferreira Bastos
4. Simon D. P. Williams
5. Paul Segall
6. Rui Fernandes
7. C. Demets
8. Xavier Collilieux

Citations in the corpus

• Fast error analysis of continuous GNSS observations with missing data (2013, methodology): “…(2003) noted that the computation time for analysing 10 years of data was around 6 h. Computers have become much more powerful since then but Hackl et al. (2011) still mention a computation time of several days to analyse 50 IGS stations using the CATS software (Williams 2008) that employs…”
• Network-based estimation of time-dependent noise in GPS position time series (2015, methodology): “Most studies suggest that the best representation of timedependent GPS noise is flicker noise with no or very little random walk (Williams et al. 2004; Hackl et al. 2011; Zhang et al. 1997; Amiri-Simkooei et al. 2007).”