An information-theoretic approach to distributed state estimation

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An information-theoretic approach to distributed state estimation

It is shown that the covariance intersection fusion rule, widely used in the context of distributed estimation, has a nice information-theoretic interpretation in terms of consensus on the Kullback-Leibler average of Gaussian probability density functions (PDFs). Based on this observation, a novel d...

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Bibliographic Details
Main Authors:	Battistelli, G., Chisci, L., Morrocchi, S., Papi, Francesco
Format:	Conference Paper
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/4438

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