Articles | Volume 9, issue 3
Atmos. Meas. Tech., 9, 1303–1312, 2016
https://doi.org/10.5194/amt-9-1303-2016
Atmos. Meas. Tech., 9, 1303–1312, 2016
https://doi.org/10.5194/amt-9-1303-2016

Research article 30 Mar 2016

Research article | 30 Mar 2016

Statistical framework for estimating GNSS bias

Juha Vierinen et al.

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Cited articles

Bust, G. S. and Mitchell, C. N.: History, current state, and future directions of ionospheric imaging, Rev. Geophys., 46, 1–23, 2008.
Carrano, C. S. and Groves, K.: The GPS Segment of the AFRL-SCINDA Global Network and the Challenges of Real-Time TEC Estimation in the Equatorial Ionosphere, Proceedings of the 2006 National Technical Meeting of The Institute of Navigation, Monterey, CA, 2006.
Coster, A., Williams, J., Weatherwax, A., Rideout, W., and Herne, D.: Accuracy of GPS total electron content: GPS receiver bias temperature dependence, Radio Sci., 48, 190–196, https://doi.org/10.1002/rds.20011, 2013.
Coster, A. J., Gaposchkin, E. M., and Thornton, L. E.: Real-time ionospheric monitoring system using the GPS, MIT Lincoln Laboratory, Technical Report, 954, 1992.
Davies, K.: Ionospheric Radio Propagation, National Bureau of Standards, 278–279, 1965.
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Short summary
We present a statistical framework for estimating GNSS receiver bias by using a weighted linear least squares of independent differences (WLLSID) model to examine differences of a large number of TEC measurements. This allows a consistent way for treating elevation-dependent model errors and spatiotemporal distance-dependent geophysical differences arising in ionospheric GNSS measurements. The method is also applicable to other GNSS system than GPS, supporting, e.g., GLONASS.