GPS Satellite Clock Bias Prediction Based on Exponential Smoothing Method

WANG Li; ZHANG Qin; HUANG Guanwen; TIAN Jie

doi:10.13203/j.whugis20150089

Volume 42 Issue 7

Jul. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(7): 995-1001. > DOI: 10.13203/j.whugis20150089

WANG Li, ZHANG Qin, HUANG Guanwen, TIAN Jie. GPS Satellite Clock Bias Prediction Based on Exponential Smoothing Method[J]. Geomatics and Information Science of Wuhan University, 2017, 42(7): 995-1001. DOI: 10.13203/j.whugis20150089

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GPS Satellite Clock Bias Prediction Based on Exponential Smoothing Method

WANG Li^{1, 2,},
ZHANG Qin^{1, 2, ,},
HUANG Guanwen^{1, 2},
TIAN Jie³

1.
School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China
2.
Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, Xi'an 710054, China
3.
Centre for Geodetic Data Processing, National Administration of Surveying, Mapping and Geoinformation, Xi'an 710054, China

Funds:

The Major State Basic Research Development Program(973 Program) of China 2014CB744700

the National Natural Science Foundation of China 41104019

the National Natural Science Foundation of China 41274005

the National Natural Science Foundation of China 41202189

the National Natural Science Foundation of China 41304033

the Project of State Land Resources Survey of China 1212011220186

the Project of State Land Resources Survey of China 1212011220142

the Project of State Land Resources Survey of China 12120114079101

the Fundamental Research Founds for the Central Universities 310826172006

the Fundamental Research Founds for the Central Universities 310826172202

the Fundamental Research Founds for the Central Universities 310826173101

More Information

Author Bio:
WANG Li, PhD, associate professor, specializes GNSS precise positioning and deformation monitoring. E-mail: wangli@chd.edu.cn
Corresponding author:
ZHANG Qin, PhD, professor. E-mail:zhangqinle@263.net.cn
Received Date: July 19, 2015
Published Date: July 04, 2017

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Abstract

Abstract

A new method of GPS satellite clock bias prediction based on exponential smoothing method (ESM) is presented in this paper. This new method can develop the prediction model successfully by using a small amount of data and has the advantages of easier calculation and convenience in operation. And the good results can still be acquired by this new method when the relevant historical data are absent or the changing trend of data is unobvious or unstable. By contrast with the quadratic polynomial model (QPM) and gray system model (GM) which are usually used in GPS satellite clock bias prediction, the calculating and analyzing results indicated that the ESM can be used in the medium-term and short-term prediction of GPS satellite clock bias and the prediction precision can reach up to nanosecond (ns) level. The prediction results of ESM are better than QPM but on the same level with GM when a small amount of data is used to establish the prediction model. And in the mean time, the ESM can also be used in the long-term prediction of GPS satellite clock bias and the prediction precision can reach up to microsecond (μs) level which is on the same level with GM.
- exponential smoothing method (ESM),
- GPS,
- satellite clock bias,
- prediction

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References

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