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New clock offset prediction method for BeiDou satellites based on inter-satellite correlation

  • Ya Mao
  • Qian-xin WangEmail author
  • Chao Hu
  • Hong-yi Yang
  • Xu Yang
  • Wei-xuan Yu
Original Study
  • 40 Downloads

Abstract

During the on-orbit operation of BeiDou satellites, the on board atomic clocks of these satellites are easily affected by changes in the space environment. Since the clock offsets of BeiDou satellites derived from multi-satellite clock estimation exhibit correlation among one another. In this study, the correlation among the clock offsets of BeiDou satellites is analyzed and the influence of correlation among satellites on clock offset prediction accuracy is investigated. To obtain accurate analysis results, the Baarda outlier detection method is initially improved. The improved method can effectively eliminate small errors in clock offset data. Then, the correlation coefficient among BeiDou satellites is calculated, and the method based on the correlation among BeiDou satellite clocks is used to predict the clock offsets of the satellites. Experimental results show that clock offset prediction accuracy can be improved by 7.3% compared with that of the traditional method when the method that considers correlation among satellite clocks is used.

Keywords

BeiDou satellites Clock error Data quality control Correlation analysis Clock error prediction 

Notes

Acknowledgments

This work was supported by “The National Science and Technology Basic Work of China (No. 2015FY310200)”, “The State Key Program of National Natural Science Foundation of China (No. 41730109)”, “The National Natural Science Foundation of China (No. 41404033)”, “The Jiangsu Dual Creative Teams Program Project Awarded in 2017”,” The practical innovation project of graduate students in Jiangsu, China (No. SJCX18_0668)”, "Jiangsu Natural Science Foundation (No. BK20181361)" and thanks for the data from IGS and iGMAS.

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Copyright information

© Akadémiai Kiadó 2018

Authors and Affiliations

  1. 1.NASG Key Laboratory of Land Environment and Disaster MonitoringChina University of Mining and TechnologyXuzhouChina
  2. 2.School of Environmental Science and Spatial InformaticsChina University of Mining and TechnologyXuzhouChina
  3. 3.Satellite Positioning for Atmosphere, Climate and Environment (SPACE) Research Centre, School of Science, Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia
  4. 4.School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina

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