Recursive Least Squares with Additive Parameters: Application to Precise Point Positioning-Reference-Cited by-同舟云学术

Recursive Least Squares with Additive Parameters: Application to Precise Point Positioning

Published:2018-11 Issue:4 Volume:144 Page:04018006
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

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

Affiliation:

1. Ph.D. Student, School of Surveying and Geospatial Engineering, Research Institute of Geoinformation Technology, College of Engineering, Univ. of Tehran, Tehran 1439957131, Iran.

2. Associate Professor, Dept. of Geomatics Engineering, Faculty of Civil Engineering and Transformation, Univ. of Isfahan, Isfahan 81746-73441, Iran.

3. Associate Professor, School of Surveying and Geospatial Engineering, Research Institute of Geoinformation Technology, College of Engineering, Univ. of Tehran, Tehran 1439957131, Iran (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000261

Reference31 articles.

1. Abdel-salam M. A. 2005. “Precise point positioning using un-differenced code and carrier phase observations.” Ph.D. thesis Geomatics Engineering Dept. Univ. of Calgary.

2. Amiri-Simkooei A. R. 2007. “Least-squares variance component estimation: Theory and GPS applications.” Ph.D. thesis Delft Institute of Earth Observation and Space Systems (DEOS) Delft Univ. of Technology.

3. An Automatic Editing Algorithm for GPS data

4. Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data

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