Analysing and Comparing the Prediction Performance of Several Satellite
Clock Bias Prediction Models
1 Shool of Geography Spatial Information, Information Engineering University,62 Kexue Road, Zhengzhou 450001,China
Abstract We study the prediction performance of several frequently-used methods used for navigation satellite clock bias prediction, including the quadratic polynomial model, the spectral analysis model, the grey model (GM (1,1)), the ARIMA model and the Kalman filtering model. By using the precise SCB data of GPS, the prediction tests are carried out to analyze their prediction results. The advantages and disadvantages of these methods are then compared. In addition, the prediction characters of six-type GPS sapceborne clocks in orbit are roughly analyzed.
Key words ：
satellite clock bias prediction
quadratic polynomial model
spectral analysis model
GM(1,1) model
ARIMA model
Kalman filtering model
Received: 08 May 2014
Published: 02 June 2015
Cite this article:
WANG Yupu,Lv Zhiping,GONG Xiaochun et al. Analysing and Comparing the Prediction Performance of Several Satellite
Clock Bias Prediction Models[J]. jgg, 2015, 35(3): 373-378.
WANG Yupu,Lv Zhiping,GONG Xiaochun et al. Analysing and Comparing the Prediction Performance of Several Satellite
Clock Bias Prediction Models[J]. jgg, 2015, 35(3): 373-378.
URL:
http://www.jgg09.com/EN/10.14075/j.jgg.2015.03.003 OR http://www.jgg09.com/EN/Y2015/V35/I3/373
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