Extended federated filtering algorithm and its application in satellite integrated attitude determination system

Zhi Sheng Wang, Jian Ye Liu, Jun Zhou

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

An Extended Federated Filtering (EFF) algorithm is developed which can be applied to integrated navigation system and integrated attitude determination system. According to both information fusion theories and information conversation principle, it is proposed that information allocation is the inverse process of information fusion in EFF algorithm. The information allocation theorem is given and proved, which lays a theoretical foundation for EFF. Taking a certain satellite integrated attitude determination system as an example, the realization of EFF is discussed in detail. The theoretical analysis and simulation results show that EFF algorithm is less computation than present federated filtering algorithm, and EFF can guarantee both local optimum and global optimum, while present federated filter can only guarantee global optimum.

Original languageEnglish
Pages (from-to)570-575
Number of pages6
JournalYuhang Xuebao/Journal of Astronautics
Volume25
Issue number5
StatePublished - Sep 2004

Keywords

  • Attitude determination
  • Extended federated filter
  • Information allocation
  • Information fusion
  • Integrated navigation system

Fingerprint

Dive into the research topics of 'Extended federated filtering algorithm and its application in satellite integrated attitude determination system'. Together they form a unique fingerprint.

Cite this