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A method to estimate the Ionospheric bias by using the new GNSS frequencies: an analysis of its theoretical accuracy in a PPP context

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2008
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Universidad Complutense de Madrid
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The modernization of the Global Positioning System (GPS)and the advent of the European Project Galileo will lead to a multifrequency Global Navigation Satellite System (GNSS). Single GNSS receiver observations could be used to estimate the ionospheric bias and smoothed pseudoranges which, in turn, can be exploited to better estimate the absolute position of the receiver and its clock correction. In fact, if we consider the satellite ephemerides and satellite clock corrections as perfect quantities (i. e. not affected by errors), the adjustment of GNSS observations is broken down into two parts. In addition, the least squares (LS) theory leads to a feasible adjustment in two steps, where covariance matrices can be explicitly written, studied and propagated from one step to the other, so that, a rigorous solution is finally obtained. This paper deals with the analytic representation of the above mentioned LS procedure and provides theoretical limits for the achievable accuracies of the parameter estimated considering different scenarios, including modernized GPS and Galileo systems. Furthermore, numerical tests with Galileo data simulated by GSSF (Galileo System Simulation Facility) have been carried out.
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BONA P., 2000 Precision, Cross Correlation and Time Correlation of GPS Phase and Code Observations. GPS Solutions, 4(2), 3-13. COCO D.S. COKER C. DAHLKE S.R. & J.R. CLYNCH, 1991.Variability of GPS satellite differential group delay biases. IEEE Trans. Aerosp. Electron. Syst., 7,931-938. EULER H. J. & C. C. GOAD, 1991. On optimal filtering of GPS dual frequency observations without using orbit information. Bulletin Geodesique, 65, 130-143. KOCH K. R., 1999. Parameter Estimation and Hypothesis Testing in Linear Models. Springer Verlag. Germany. De LACY M. C. SANSÓ F. GIL A. J. & G. RODRÍGUEZ-CADEROT, 2005. A method for the ionospheric delay estimation and its interpolation in a local GPS network, Stud. Geophys. Geod., 49, 63-84. PORTILLO A. HERRAIZ M. RADICELLA S.M. & L. CIRAOLO, 2008. Equatorial plasma bubbles studied using African slant total electron content observations. Journal of Atmospheric and Solar-Terrestrial Physics, doi:10.1016/j.jastp.2007.05.019 SARDON E. RIUS A. & N. ZARRAOA, 1994. Estimation of the transmitter and receiver differential biases and the ionospheric total electron content from Global Positioning System observations. Radio Sci., 29, 577-586. SCHAER S., 1999. Mapping and Prediction the Earth’s Ionosphere Using the Global Positioning System. Geodaetisch-geophysikalische Arbeiten der Schweiz 59, Swiss Geodetic Commission, Swiiss Academy of Sciences, Bern,Switzerland. SIMSKY A. SLEEWAEGEN J.M. & P. NEMRY, 2006. Early performance results for new Galileo and GPS signals in space. Proceedings ENC GNSS, The European Navigation Conference and Exhibition, Manchester, UK, 8-10 May 2006. ZHANG W. CANNON M. E. JULIEN O. & P. ALVES, 2003. Investigation of Combined GPS/GALILEO Cascading Ambiguity Resolution Schemes. ION GPS/GNSS 2003,Portland, OR, 9-12 September 2003. ZHANG W., 2005. Triple Frequency Cascading Ambiguity Resolution for Modernized GPS and Galileo. Ph.D. Thesis,University of Calgary. ZIMMERMANN F. HAAK T. & C. HILL, 2006. The Galileo System Simulation Facility-Validation with Real Measurement Data. Proceedings of ENC06, The European Navigation Conference and Exhibition, Manchester, UK, 8-10 May 2006
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