Prediction Model with Periodic Item and Its Application to the Prediction of GPS Satellite Clock Bias

Details Prediction Model with Periodic Item and Its Application to the Prediction of GPS Satellite Clock Bias Prediction Model with Periodic Item and Its Application to the Prediction of GPS Satellite Clock Bias

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010acasn..51...95z&link_type=abstract

Acta Astronomica Sinica, vol. 51, no.1, p. 95-102

Computer Science

Performance

1

Satellites, Time

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. To predict SCB availably and show its property clearer, we should consider the periodic variety of SCB besides the perspicuous characters of GPS satellite clocks such as the frequency deviation, frequency drift and frequency drift rate and so on. A new prediction model taking account of the periodic item based on the quadratic polynomial model is put forward in this paper. Taking GPS satellite clock data from cesium clock and rubidium clock for example, we analyze the clock bias prediction in different time scales and different cases, compared with the prediction of quadratic polynomial model. It shows that the prediction accuracy of quadratic polynomial model with periodic item is prior to that of quadratic polynomial model, and the prediction accuracy of rubidium clock data is a bit prior to that of cesium clock.

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