Application of H filtering for outliers restraining in integrated navigation

Lei Zhang*, Bo Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

The outliers in the observation values make the estimation of H filtering inaccurate. A new algorithm for outliers restraining is brought forward. Chebyshev's inequality is used to detect outliers, and the method based on information pervasion theorem is used to correct the single outlier or series outliers. The simulation of SINS/GPS integrated navigation for the long-distance missile showed that the new algorithms can detect outliers effectively and ensure the precision of filtering exactly, and the improved algorithm performal well.

Original languageEnglish
Pages (from-to)600-604
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume29
Issue number7
Publication statusPublished - Jul 2009

Keywords

  • Chebyshev's inequality
  • Information pervasion
  • Innovation revising
  • Outliers detecting
  • Outliers eliminating

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