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A constant-gain satellite attitude determination method based on projection

  • Fangfang Yin
  • , Hua Song*
  • , Shaoqiang Yuan
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Since the Extended Kalman Filter (EKF) algorithm requires computing Jacobi matrix and gain matrix on-line, a constant-gain Kalman filter algorithm based on projection is applied to satellite attitude determination system in this paper. Firstly, in order to avoid the calculation of Jacobi matrix, a projection method is used to obtain the time-invariant measurement matrix. Then, the gain matrix of EKF is replaced by the constant gain matrix, which is obtained when the filter get stable. So the real-time performance and stability have been improved greatly. The simulation results show that the method not only has the advantage of saving computation time, high stability, but also ensure high accuracy of attitude determination.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Instrumentation and Measurement, Computer, Communication, and Control, IMCCC 2015
EditorsJun-Bao Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages504-509
Number of pages6
ISBN (Electronic)9781467377232
DOIs
StatePublished - 11 Feb 2016
Event5th International Conference on Instrumentation and Measurement, Computer, Communication, and Control, IMCCC 2015 - Qinhuangdao, China
Duration: 18 Sep 201520 Sep 2015

Publication series

NameProceedings - 5th International Conference on Instrumentation and Measurement, Computer, Communication, and Control, IMCCC 2015

Conference

Conference5th International Conference on Instrumentation and Measurement, Computer, Communication, and Control, IMCCC 2015
Country/TerritoryChina
CityQinhuangdao
Period18/09/1520/09/15

Keywords

  • Constant-gain
  • Projection
  • Satellite attitude determination system
  • Star sensor

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