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引用本文:李晓宇,杨洋,胡晓粉,贾蕊溪.���ڸĽ���ɫARMAģ�͵������Ӳ����Ԥ���о�[J].大地测量与地球动力学,2013,33(1):59-63.
作者姓名:李晓宇  杨洋  胡晓粉  贾蕊溪
作者单位:1. 中国人民解放军装备学院,北京,101416
2. 中国人民解放军61081部队,北京,100094
摘    要:?????????????????????????λ???????????????????????????????????????????????????ARMA?????????????????????????????и??????????????????????????????????ARMA????????????????????????в???IGS????????????????????????????????????

关 键 词:??????  ?????????  ARMA  ??????  ?????  

RESEARCH ON SHORT-TERM PREDICTION OF SATELLITE CLOCK ERRORS BASED ON IMPROVED GREY ARMA MODEL
Li Xiaoyu,Yang Yang,Hu Xiaofen,and Jia Ruixi.RESEARCH ON SHORT-TERM PREDICTION OF SATELLITE CLOCK ERRORS BASED ON IMPROVED GREY ARMA MODEL[J].Journal of Geodesy and Geodynamics,2013,33(1):59-63.
Authors:Li Xiaoyu  Yang Yang  Hu Xiaofen  and Jia Ruixi
Institution:1) 1)Academy of Equipment of PLA,Beijing 1014162)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).
Keywords:clock error prediction  improved Grey model  Auto Regressive Moving Average(ARMA)  integrated model  precision of clock error
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