Least-Squares Variance Component Estimation Applied to GPS Geometry-Based Observation Model-Reference-Cited by-同舟云学术

Least-Squares Variance Component Estimation Applied to GPS Geometry-Based Observation Model

Published:2013-11 Issue:4 Volume:139 Page:176-187
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Amiri-Simkooei A. R.¹,Zangeneh-Nejad F.²,Asgari J.³

Affiliation:

1. Assistant Professor, Dept. of Surveying Engineering, Faculty of Engineering, Univ. of Isfahan, Hezar-Zerib Ave., 8174673441 Isfahan, Iran; and Acoustic Remote Sensing Group (ACRS), Faculty of Aerospace Engineering, Delft Univ. of Technology, Kluyverweg 1, 2629 HS, Delft, Netherlands.

2. Dept. of Surveying Engineering, Faculty of Engineering, Univ. of Isfahan, Hezar-Zerib Ave., 8174673441 Isfahan, Iran (corresponding author).

3. Assistant Professor, Dept. of Surveying Engineering, Faculty of Engineering, Univ. of Isfahan, Hezar-Zerib Ave., 8174673441 Isfahan, Iran.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000107

Reference37 articles.

1. Amiri-Simkooei A. R. (2007). “Least-squares variance component estimation: Theory and GPS applications.” Ph.D. thesis Delft Univ. of Technology Delft Netherlands.

2. Application of Least-Squares Variance Component Estimation to GPS Observables

3. Assessing receiver noise using GPS short baseline time series

4. Amiri-Simkooei A. R. Tiberius C. C. J. M. and Teunissen P. J. G. (2006). “Noise characteristics in high precision GPS positioning.” P.Xu J.Liu and A.Dermanis eds. Proc. 6th Hotine-Marussi Symp. on Theoretical and Computational Geodesy Springer Berlin 280–286.

5. Assessment of noise in GPS coordinate time series: Methodology and results

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