Application of fast federated H filtering in SINS/GPS integrated navigation system

Lei Zhang*, Bo Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Because the effect of federal Kalman filtering in SINS/GPS integrated navigation depends on the system model and the statistical properties of noises, and the computing is complex, a new federal H filtering is brought forward. The new formula of federal H filtering is defined, the adaptive assignment principle of fusion information is advanced and the algorithm is simplified. It is no need to know the statistical properties of noises in H filtering, so the new algorithm has strong robustness and improves the fault-tolerance capability of the system. The simulation result shows that the proposed method is better in stability and real-time characters.

Original languageEnglish
Pages (from-to)1940-1943
Number of pages4
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume31
Issue number8
Publication statusPublished - Aug 2009

Keywords

  • Adaptive information allocation
  • Algorithm simplification
  • Federal H filtering
  • Integrated navigation

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