Articles | Volume 37, issue 6
Ann. Geophys., 37, 1039–1047, 2019

Special issue: Vertical coupling in the atmosphere–ionosphere system

Ann. Geophys., 37, 1039–1047, 2019

Regular paper 18 Nov 2019

Regular paper | 18 Nov 2019

Estimating satellite and receiver differential code bias using a relative Global Positioning System network

Alaa A. Elghazouly et al.

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Cited articles

Abid, M., Mousa, A., Rabah, M., El Mewafi, M., and Awad, A.: Temporal and spatial variation of differential code biases: A case study of regional network in Egypt, Alexandria Engineering Journal, 55, 1507–1514, 2016. 
Al-Fanek, O.: Ionospheric Imaging for Canadian Polar Regions, PhD thesis, Calgary, Alberta, 47–50, 2013. 
Arikan, F., Nayir, H., Sezen, U., and Arikan, O.: Estimation of single station interfrequency interfrequency receiver bias using GPS-TEC, Radio Sci., 43, 1–2,, 2008. 
Böhm, J. and Schuh, H.: Atmospheric Effects in Space Geodesy, Springer Atmospheric Sciences, eBook ISBN: 978-3-642-36932-2, 2013. 
Elghazouly, A., Doma, M., Sedeek, A., Rabah, M., and Hamama, M.: Validation of Global TEC Mapping Model Based on Spherical Harmonic Expansion towards TEC Mapping over Egypt from a Regional GPS Network, Am. J. Geogr. Inform. Syst., 8, 89–95, 2019. 
Short summary
Receiver and satellite differential code biases (DCBs) are one of the main error sources in estimating precise global ionosphere maps (GIMs) from Global Positioning System (GPS) data. This paper introduces a mathematical model for estimating satellite and receiver DCBs from a GPS network written in the MATLAB environment. Our code was tested and compared with Ionosphere Associated Analysis Centers (IAAC) and other researchers' code results. The results show an improvement for estimated DCBs.