An empirical approach for the estimation of GPS covariance matrix of observations

Proceedings of the Annual Meeting - Institute of Navigation

Volumn , Issue , 2005, Pages 1098-1104

  Leandro, Rodrigo ^a   Santos, Marcelo ^a   Cove, Karen ^a,b  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b University of New Brunswick ^*

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL STOCHASTIC APPROACH; GPS COVARIANCE MATRIX;

DATA PROCESSING; MATHEMATICAL MODELS; MATRIX ALGEBRA; MEASUREMENT THEORY; PARAMETER ESTIMATION;

GLOBAL POSITIONING SYSTEM;

EID: 33645145010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. Collins, J. P. and R. B. Langley (1999). Possible weighting schemes for GPS carrier phase observations in the presence of multipath. Final contract report for the U.S. Army Corps of engineers Topographic Engineering Center, No DAAH04-96-C-0086 / TCN 98151, March, 33pp.
3. El-Rabbany, A. (1994). The effect of physical correlations on the ambiguity resolution and accuracy estimation in GPS differential positioning. Ph.D. Thesis - University of New Brunswick, Department of Geodesy and Geomatics Engineering, Fredericton, NB.
4. Hofmann-Wellenhof, B., H. Lichteneger and J. Collins (2001). Global Positioning System: Theory and Practice. Springer-Verlag Wien New York.
5. Kim, D and R. Langley (2001). Estimation of the Stochastic Model for Long-Baseline Kinematic GPS Applications. ION National Technical Meeting, January 22-24, 2001, Long Beach-CA.
6. Langley, R. B. (1997). GPS observation noise. GPS World, Vol. 8, No. 6, April, pp 40-45.
7. Vanicek, P. and E. Krakiwsky (1982). Geodesy: The Concepts. North-Holland Publishing Company, Amsterdan - New York - Oxford.