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Global Navigation Satellite System:Technology Innovation and Application (CPGPS 2009 PAPERBACK)

Beijing,China,8.8-8.9,2009

ISBN: 978-1-935068-03-7 Scientific Research Publishing, USA

Paperback 444pp Pub. Date: November 2009

Category: Engineering

Price: $60

Title: GPS Satellite Clock Bias Prediction Based on the Regression Forgetting Factor Least Squares Raw
Source: Global Navigation Satellite System:Technology Innovation and Application (CPGPS 2009 PAPERBACK) (pp 71-75)
Author(s): Zuoya Zheng, Institute of Geodesy and Geodynamics, Chinese Academy of Surveying and Mapping, Beijing, 100039
Xiushan Lu, Key Laboratory of Surveying and Mapping Technology on Island and Reef of SBSM, Qingdao, 266510
Weimei Xu, Key Laboratory of Surveying and Mapping Technology on Island and Reef of SBSM, Qingdao, 266510
Abstract: Aimed at the limit of traditional Least Square (LS) raw which solving parameters with all observations in one-off and leading to data saturation, decreasing solution capability, and so on, GPS satellite clock bias prediction based on the Regression Forgetting Factor Least Squares (RFFLS) raw is put forward according to the character of GPS satellite clock bias in this paper, then, we deduce the model, and give out the satellite clock prediction steps and discuss the choice of forgetting factor. Taking precise satellite clock bias of the second day of GPS-week 1442 with 15-minute sample rate in IGS precise ephemeris for example, we analyze this model and show that the GPS satellite clock bias prediction accuracy predicted by RFFLS is prior to that of quadratic polynomial model.
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