Fault detection in sensor information fusion Kalman filter

Ali Okatan; Chingiz Hajiyev; Ulviyye Hajiyeva

doi:10.1016/j.aeue.2008.06.003

Fault detection in sensor information fusion Kalman filter

Ali Okatan, Chingiz Hajiyev^*, Ulviyye Hajiyeva

^*Corresponding author for this work

Department of Aeronautical Engineering

Halic University

Research output: Contribution to journal › Article › peer-review

35 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 language	English
Pages (from-to)	762-768
Number of pages	7
Journal	AEU - International Journal of Electronics and Communications
Volume	63
Issue number	9
DOIs	https://doi.org/10.1016/j.aeue.2008.06.003
Publication status	Published - Sept 2009

Keywords

Fault detection
Kalman filters
Matrix norm
Parallel algorithms
Sensor fusion

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10.1016/j.aeue.2008.06.003

Cite this

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KW - Parallel algorithms

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Fault detection in sensor information fusion Kalman filter

Abstract

Keywords

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