In this paper, we provide the optimal data fusion filter for linear systems suffering from possible missing measurements. The noise covariance in the observation process is allowed to be singular which requires the use of generalized inverse. The data fusion process is made on the raw data provided by two sensors observing the same entity. Each of the sensors is losing the measurements in its own data loss rate. The data fusion filter is provided in a recursive form for ease of implementation in real-world applications.
History
Event
IFAC Intelligent Control Systems and Signal Processing International Conference (2nd : 2009 : Istanbul, Turkey)
Pagination
1 - 4
Publisher
International Federation of Automatic Control
Location
Istanbul, Turkey
Place of publication
Laxenburg, Austria
Start date
2009-09-21
End date
2009-09-23
Language
eng
Publication classification
E1 Full written paper - refereed
Copyright notice
2009, International Federation of Automatic Control
Title of proceedings
ICONS 2009 : Proceedings of the IFAC Intelligent Control and Signal Processing 2009 international conference