Practical integrated navigation fault detection algorithm based on sequential hypothesis testing

Feng Yang, Cheng Cheng, Quan Pan, Gongyuan Zhang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In detecting system fault algorithms, the false alarm rate and undectect rate generated by residual Chi-square test can affect the stability of filters. The paper proposes a fault detection algorithm based on sequential residual Chi-square test and applies to fault detection of an integrated navigation system. The simulation result shows that the algorithm can accurately detect the fault information of global positioning system (GPS), eliminate the influence of false alarm and missed detection on filter, and enhance fault tolerance of integrated navigation systems.

Original languageEnglish
Pages (from-to)146-149
Number of pages4
JournalJournal of Systems Engineering and Electronics
Volume22
Issue number1
DOIs
StatePublished - Feb 2011

Keywords

  • Fault detection
  • Integrated navigation
  • Residual Chi-square test

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