RESEARCH ON SHORT-TERM PREDICTION OF SATELLITE CLOCK ERRORS BASED ON IMPROVED GREY ARMA MODEL
Li Xiaoyu1） ; Yang Yang2） ; Hu Xiaofen1） ; and Jia Ruixi1）
1）Academy of Equipment of PLA, Beijing 101416;2)61081 troops of PLA,Beijing 100094
Abstract As one of the key factors for realizing real time precise point positioning, the precision of clock errors prediction has direct effect on the capability of navigation system. Through considering that the clock errors are composed of trend item and random item, a integrated model is proposed, which combines improved Grey with ARMA model. Using the improved Grey model to establish trend item model at first, and then we extract the random item to build the ARMA model, add them to the predicted results at last. The simulation results verify the feasibility and validity of this integrated method through an example using the precise clock errors from IGS(International GPS Service).
Key words ：
clock error prediction
improved Grey model
Auto Regressive Moving Average(ARMA)
integrated model
precision of clock error
Received: 01 January 1900
Corresponding Authors:
Li Xiaoyu
Cite this article:
Li Xiaoyu,Yang Yang,Hu Xiaofen et al. RESEARCH ON SHORT-TERM PREDICTION OF SATELLITE CLOCK ERRORS BASED ON IMPROVED GREY ARMA MODEL[J]. , 2013, 33(1): 59-63.
Li Xiaoyu,Yang Yang,Hu Xiaofen et al. RESEARCH ON SHORT-TERM PREDICTION OF SATELLITE CLOCK ERRORS BASED ON IMPROVED GREY ARMA MODEL[J]. jgg, 2013, 33(1): 59-63.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2013/V33/I1/59
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