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基于AR模型的GPS精密卫星钟差建模与预报
引用本文:李长会,刘宁,李森,闫国锋.基于AR模型的GPS精密卫星钟差建模与预报[J].全球定位系统,2012,37(4):22-26.
作者姓名:李长会  刘宁  李森  闫国锋
作者单位:61365部队,天津300140
摘    要:在GPS卫星精密钟差的预报中,短周期预报通常采用二次项拟合模型,长周期预报通常采用灰色模型,但这两种模型都只是考虑趋势项而没有考虑随机项,通过利用AR模型对钟差的随机项进行建模,并作为随机补偿,加入到二次项拟合模型与灰色模型中,以完善钟差预报的短周期与长周期模型。在算例中运用由IGS提供的精密钟差进行预测,结果表明:改进后的模型使钟差预报的精度得到一定程度的提高。

关 键 词:卫星钟差预报  随机项建模  AR模型

Modeling and Prediction of GPS Precise Satellite Clock Bias based on AR Model
LI Changhui,LIU Ning,LI Sen,YAN Guofeng.Modeling and Prediction of GPS Precise Satellite Clock Bias based on AR Model[J].Gnss World of China,2012,37(4):22-26.
Authors:LI Changhui  LIU Ning  LI Sen  YAN Guofeng
Institution:61365部队,天津,300140
Abstract:In the prediction of GPS precise satellite clock bias,quadratic term fitting model on the prediction of the short cycle and grey model on the prediction of the long term is usually used.But the trend item in the two models without taking the random item into account is just considered.A model of the random item of the clock bias with the AR model is built,and is added to the quadratic term fitting model and gray model to improve the short and the long cycle prediction of the clock bias model as a random compensation.In addition,a prediction in the computational example with the precise clock bias provided by IGS is presented.The result shows that the improved model makes the prediction of the precise satellite clock bias better to a certain extent.
Keywords:Satellite clock correction forecasts  random item model  the AR model
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