Journal of Astronautics ›› 2018, Vol. 39 ›› Issue (1): 83-88.doi: 10.3873/j.issn.1000-1328.2018.01.011

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Real Time Clock Offset Prediction Model with Periodic and Neural Network Corrections

HUANG Guan wen, CUI Bo bin, ZHANG Qin, FU Wen ju, LI Ping li, LIN Yu ting   

  1. 1. School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China;
    2. Beijing Satellite Navigation Center, Beijing 100094, China
  • Received:2017-08-23 Revised:2017-10-25 Online:2018-01-15 Published:2018-01-25


Considering the influence of the significant periodic signals and other system errors in the polynomial model fitting residuals, a real-time prediction model of BDS clock offset is proposed which is attached with the polynomial period and the back propagation (BP) neural network. The ultra-fast forecast clock offset data is used to verify the proposed algorithm. The numerical results show that compared to the China international GNSS monitoring & assessment system products (ISU) and the ultra-fast of the German research centre for geosciences products (GBU), the prediction precision of the BDS ultra-rapid clock products using the proposed model, is increased by 26.14%, 16.46%, 12.68% and 10.58% as well as 10.34%, 13.85%, 8.17% and 14.41% respectively in 3 h, 6h, 12 h and 24 h.

Key words: BDS, Clock offset prediction, Period items, BP neural network

CLC Number: