SHORT-TERM PREDICTION OF SATELLITE CLOCK BIAS BASED
ON TWO-STEPS MINIMIZATION
1）School of Environment Science and Spatial Informatics,China University of Mining and Technology,
Abstract A model to estimate shortterm prediction of satellite clock bias was established based on quadratic polynomial and twosteps minimization.The coefficient of covariance function was fitted with residuals of quadratic polynomial model.Comparison between result with the model and usual method indicates that the accuracy of the collocation model in shorttime prediction of satellite clock bias improved.It can be also served as a new interpolation method by comparing with common algorithms of clock bias prediction and interpolation.
Key words ：
clock bias prediction
fitting
covariance function
two steps&rsquo
minimization
grey theory
Received: 18 December 2013
Published: 26 September 2014
Cite this article:
Chen Xibin,Zhang Bo,Bao Guo. SHORT-TERM PREDICTION OF SATELLITE CLOCK BIAS BASED
ON TWO-STEPS MINIMIZATION[J]. jgg, 2014, 34(5): 125-129.
Chen Xibin,Zhang Bo,Bao Guo. SHORT-TERM PREDICTION OF SATELLITE CLOCK BIAS BASED
ON TWO-STEPS MINIMIZATION[J]. jgg, 2014, 34(5): 125-129.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2014/V34/I5/125
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