Fault detection in sensor information fusion Kalman filter

Ali Okatan, Chingiz Hajiyev*, Ulviyye Hajiyeva

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

An approach to the test of the sensor information fusion Kalman filter is proposed. It is based on the introduced statistics of mathematical expectation of the spectral norm of a normalized innovation matrix. The approach allows for simultaneous test of the mathematical expectation and the variance of innovation sequence in real time and does not require a priori information on values of the change in its statistical characteristics under faults. Using this approach, fault detection algorithm for the sensor information fusion Kalman filter is developed.

Original languageEnglish
Pages (from-to)762-768
Number of pages7
JournalAEU - International Journal of Electronics and Communications
Volume63
Issue number9
DOIs
Publication statusPublished - Sept 2009

Keywords

  • Fault detection
  • Kalman filters
  • Matrix norm
  • Parallel algorithms
  • Sensor fusion

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