Assessing receiver noise using GPS short baseline time series

By Alireza Amiri-Simkooei, C. C. J. M. Tiberius. 2006

133 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/04921ef3814ae8b4bc86cf4ef48cc7cc36592481

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. Peter Teunissen
2. Alireza Amiri-Simkooei
3. Jun Wang
4. Yanming Feng

In Artificial Intelligence

1. Peter Teunissen
2. Alireza Amiri-Simkooei
3. Jun Wang
4. Yanming Feng

In Atomic and Molecular Physics, and Optics

1. Peter Teunissen
2. Alireza Amiri-Simkooei

Citations in the corpus

• Noise in multivariate GPS position time-series (2009, methodology): “In an earlier work, a method is used to assess the noise characteristics of univariate GPS coordinate time-series (Amiri-Simkooei et al. 2007).”
• Application of least squares variance component estimation to errors-in-variables models (2013, methodology): “For applications of LS-VCE to GNSS data series, we may refer to Amiri-Simkooei and Tiberius (2007), Amiri-Simkooei et al. (2007), Amiri-Simkooei (2009) and Amiri-Simkooei et al. (2009, 2013).”
• Least-squares variance component estimation (2008, methodology): “Examples are Zhang et al. (1997); Mao et al. (1999); Williams et al. (2004), and Amiri-Simkooei et al. (2007), who studied the noise characteristics (e.g., white noise, random walk and flicker noise) in daily GPS coordinate time-series of permanent networks.”