On the nature of GPS draconitic year periodic pattern in multivariate position time series

By Alireza Amiri-Simkooei. 2013

122 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Geophysics, Oceanography

View Paper: https://www.semanticscholar.org/paper/c71e9a0583d8d6a9595faba4271003547d042f2b

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. Ksenia Dmitrieva
2. Paul Segall
3. C. Demets
4. Alireza Amiri-Simkooei

In Geophysics

1. Ksenia Dmitrieva
2. Paul Segall
3. C. Demets
4. Alireza Amiri-Simkooei

In Oceanography

1. Ksenia Dmitrieva
2. Paul Segall
3. C. Demets
4. Alireza Amiri-Simkooei

Citations in the corpus

• Network-based estimation of time-dependent noise in GPS position time series (2015, result): “Contrary to some previous studies (e.g., Williams et al. 2004; Santamaría-Gómez et al. 2011; Amiri-Simkooei 2013; King and Williams 2009), we find non-negligible random walk.”
• 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.”