A Minimax Unbiased Estimation Fusion in Distributed Multisensor Localization and Tracking
Joint Authors
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Topics
Abstract EN
A minimax estimation fusion in distributed multisensor systems is proposed, which aims to minimize the worst-case squared estimation error when the cross-covariances between local sensors are unknown and the normalized estimation errors of local sensors are norm bounded.
The proposed estimation fusion is called as the Chebyshev fusion estimation (CFE) because its geometrical interpretation is in coincidence with the Chebyshev center, which is a nonlinear combination of local estimates.
Theoretically, the CFE is better than any local estimator in the sense of the worst-case squared estimation error and is robust to the choice of the supporting bound.
The simulation results illustrate that the proposed CFE is a robust fusion in localization and tracking and more accurate than the previous covariance intersection (CI) method.
American Psychological Association (APA)
Qu, Xiaomei& Zhou, Jie. 2012. A Minimax Unbiased Estimation Fusion in Distributed Multisensor Localization and Tracking. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-461145
Modern Language Association (MLA)
Qu, Xiaomei& Zhou, Jie. A Minimax Unbiased Estimation Fusion in Distributed Multisensor Localization and Tracking. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-461145
American Medical Association (AMA)
Qu, Xiaomei& Zhou, Jie. A Minimax Unbiased Estimation Fusion in Distributed Multisensor Localization and Tracking. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-461145
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461145