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  4. Robust Estimation for Uncertain Models in a Data Fusion Scenario
 
conference paper

Robust Estimation for Uncertain Models in a Data Fusion Scenario

Sayed, Ali H.  
•
Al-Naffouri, T.Y.
•
Kailath, T.
2000
IFAC Proceedings Volumes
IFAC Proceedings Volumes

This paper formulates and solves a parameter estimation problem that shows how to combine, in a certain optimal and robust manner, measurements that arise from a finite collection of uncertain models. This scenario occurs, for example, in data fusion applications and in cases that involve systems that can operate under different failure conditions. An example in the context of macroscopic diversity in wireless cellular systems is considered.

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Type
conference paper
DOI
10.1016/S1474-6670(17)39867-1
Author(s)
Sayed, Ali H.  
Al-Naffouri, T.Y.
Kailath, T.
Date Issued

2000

Publisher

Elsevier

Published in
IFAC Proceedings Volumes
Volume

33

Issue

15

Start page

899

End page

904

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
ASL  
Event nameEvent placeEvent date
IFAC Proceedings Volumes

Santa Barbara, CA, USA

June 2000

Available on Infoscience
December 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/143437
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