Earticle

초록

영어

Given the lag of IGS precise ephemeris and complexity of dynamic models, in order to solve the problem of long-term satellite orbit prediction in autonomous orbit determination, a new medium and long term orbit prediction method that based on satellite broadcast ephemeris parameters has been put forward. This method is that forecasting the orbit parameters firstly according to broadcast ephemeris history data, and then calculating satellite position according to the forecast ephemeris parameters. In order to verify the feasibility of this method, using 40 days of broadcast ephemeris data, adopting ARMA model combined with sliding window model to predict broadcast ephemeris orbit parameters value in 25 days. Analyzed the parameters prediction error and the influence of parameters prediction error to satellite orbit accuracy, 25 days of orbit prediction error can be controlled in 150 meters. The results show that the predictability of orbit parameters has certain application value for satellite orbit prediction, the medium and long term orbit prediction that based on the satellite broadcast ephemeris parameters is a new and feasible method of orbit prediction.

목차

Abstract
 1. Introduction
 2. Differences from the Traditional Orbit Prediction Base on Dynamic Model
 3. Change Analyses of Satellite Orbit Parameters
 4. The Prediction Algorithm
  4.1. Principle of ARMA Model
  4.2. Prediction Example Based on ARMA Model
  4.3. Sliding Window Principle
 5. Example and Analyses
  5.1. Data Source
  5.2. Prediction Results of ARMA Model
  5.3. Prediction Results of ARMA Model
 6. Conclusion
 References

키워드

저자

• Zhu Yunhang [ Department of Information Engineering, Hunan College of Information, Changsha, Hunan, China ]
• Xi Chao [ School of Information and Communication, Guilin University of Electronic Technology, Guilin, China ]
• Cai Chenglin [ School of Information and Communication, Guilin University of Electronic Technology, Guilin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605