Safety Critical Data Fusion Strategies for Inertial Sensing on Aircraft

J. T. Pearson, M. Eastham, R. M. Goodall

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


This paper presents a data fusion system for a high performance aircraft. At the heart of the system is an Extended Kalman Filter which fuses data from distributed inertial sensors. The data fusion system provides high quality high integrity data to both the Flight Control and Navigation systems, and is consequently safety critical. The work also investigates a number of reconfiguration strategies that can be used to reconfigure the Kalman filter in the event of a sensor failure. The performance of this safety critical multi-sensor data fusion system in the event of sensor failures is evaluated through computer simulations and some preliminary results are included.

Original languageEnglish
Title of host publicationUKACC International Conference on CONTROL '98
Place of PublicationEssex
Number of pages6
ISBN (Print)085296708X, 9780852967089
Publication statusPublished - 1998
Externally publishedYes
EventUKACC International Conference on Control 1998 - Swansea University, Swansea, United Kingdom
Duration: 1 Sep 19984 Sep 1998

Publication series

NameIEE Conference Publication
PublisherInstitution of Engineering and Technology
ISSN (Print)0537-9989


ConferenceUKACC International Conference on Control 1998
Abbreviated titleCONTROL '98
Country/TerritoryUnited Kingdom
Internet address


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