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Optimal multisensor data fusion for linear systems with missing measurements

Mohamed, Shady M. and Nahavandi, Saeid 2008, Optimal multisensor data fusion for linear systems with missing measurements, in SOSE 2008 : IEEE International Conference on System of Systems Engineering, IEEE, Piscataway, N.J., pp. 1-4.

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Title Optimal multisensor data fusion for linear systems with missing measurements
Author(s) Mohamed, Shady M.ORCID iD for Mohamed, Shady M. orcid.org/0000-0002-8851-1635
Nahavandi, Saeid
Conference name IEEE International Conference on System of Systems Engineering (2008 : Monterey Bay, Calif.)
Conference location Monterey Bay, Calif.
Conference dates 2-5 June 2008
Title of proceedings SOSE 2008 : IEEE International Conference on System of Systems Engineering
Editor(s) [Unknown]
Publication date 2008
Conference series International Conference on System of Systems Engineering
Start page 1
End page 4
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Multisensor data fusion has attracted a lot of research in recent years. It has been widely used in many applications especially military applications for target tracking and identification. In this paper, we will handle the multisensor data fusion problem for systems suffering from the possibility of missing measurements. We present the optimal recursive fusion filter for measurements obtained from two sensors subject to random intermittent measurements. The noise covariance in the observation process is allowed to be singular which requires the use of generalized inverse. Illustration example shows the effectiveness of the proposed filter in the measurements loss case compared to the available optimal linear fusion methods.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 9781424421732
Language eng
Field of Research 090609 Signal Processing
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018194

Document type: Conference Paper
Collections: School of Engineering and Information Technology
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