An improved grey model for the prediction of real-time GPS satellite clock bias

Details An improved grey model for the prediction of real-time GPS satellite clock bias An improved grey model for the prediction of real-time GPS satellite clock bias

Jul 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008acasn..49..306z&link_type=abstract

Acta Astronomica Sinica, vol. 49, no. 3, p.306-320

Computer Science

Performance

4

Astrometry And Celestial Mechanics, Time, Methods, Numerical

Scientific paper

In real-time GPS precise point positioning (PPP), real-time and reliable satellite clock bias (SCB) prediction is a key to implement real-time GPS PPP. It is difficult to hold the nuisance and inenarrable performance of space-borne GPS satellite atomic clock because of its high-frequency, sensitivity and impressionable, it accords with the property of grey model (GM) theory, i. e. we can look on the variable process of SCB as grey system. Firstly, based on limits of quadratic polynomial (QP) and traditional GM to predict SCB, a modified GM (1,1) is put forward to predict GPS SCB in this paper; and then, taking GPS SCB data for example, we analyzed clock bias prediction with different sample interval, the relationship between GM exponent and prediction accuracy, precision comparison of GM to QP, and concluded the general rule of different type SCB and GM exponent; finally, to test the reliability and validation of the modified GM what we put forward, taking IGS clock bias ephemeris product as reference, we analyzed the prediction precision with the modified GM, It is showed that the modified GM is reliable and validation to predict GPS SCB and can offer high precise SCB prediction for real-time GPS PPP.

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