Distributed bounded--error parameter and state estimation in networks of sensors

Abstract : This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation, where all data are collected to a central processing unit, here, each data is processed locally by the sensor, the results are broadcasted to the network and taken into account by the other sensors. A first analysis of the conditions under which distributed and centralized estimation provide the same results has been presented. An application to the tracking of a moving source using a network of sensors measuring the strength of the signal emitted by the source is considered.
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Cuyt, A. and Krämer, W. and Luther, W. and Markstein, P. Numerical validation in current hardware architectures -- From embedded system to high--end computational grids, 0, Springer--Verlag, 2009
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Contributeur : Michel Kieffer <>
Soumis le : mercredi 30 septembre 2009 - 11:25:28
Dernière modification le : jeudi 5 avril 2018 - 12:30:04
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Michel Kieffer. Distributed bounded--error parameter and state estimation in networks of sensors. Cuyt, A. and Krämer, W. and Luther, W. and Markstein, P. Numerical validation in current hardware architectures -- From embedded system to high--end computational grids, 0, Springer--Verlag, 2009. 〈inria-00420955〉

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