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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/27232
Title: Comparative analysis of GPS baseline data using different stochastic modelling techniques
Authors: Chakravarty D.
Venugopal S.
Ghosh, Sanjay Kumar
Published in: Current Science
Abstract: Double-differenced Global Positioning System (GPS) carrier-phase observations produce accurate GPS-precise point positioning results if processed with least squares algorithms, which need a functional and a stochastic model to be properly defined, the latter being difficult to accomplish practically. The standard model, the MINQUE model and the simplified MINQUE model are widely used for estimating the variance-covariance components of GPS observations. In this communication, the outputs from these models are compared. It has been shown that both the MINQUE models are superior to the standard stochastic model and the simplified MINQUE model has the same accuracy as the MINQUE model, but with a drastically reduced computational time.
Citation: Current Science, 93(10): 1416-1422
URI: http://repository.iitr.ac.in/handle/123456789/27232
Issue Date: 2007
Keywords: Carrier phase
Double difference
MINQUE model
Stochastic modelling
Variance-covariance
ISSN: 113891
Author Scopus IDs: 7004526342
57206286621
55478984700
Author Affiliations: Chakravarty, D., Department of Mining Engineering, Indian Institute of Technology, Kharagpur 721 302, India
Venugopal, S., Department of Mining Engineering, Indian Institute of Technology, Kharagpur 721 302, India
Ghosh, S.K., Department of Mining Engineering, Indian Institute of Technology, Kharagpur 721 302, India
Funding Details: 
Corresponding Author: Chakravarty, D.; Department of Mining Engineering, , Kharagpur 721 302, India; email: dc@mining.iitkgp.ernet.in
Appears in Collections:Journal Publications [CE]

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