Asymptotically optimal filtering in linear systems with fractional Brownian noises

Author

Breton, Alain Le

Kleptsyna, Marina L.

Viot, Michel

Publication date

2004

Abstract

In this paper, the filtering problem is revisited in the basic Gaussian homogeneous linear system driven by fractional Brownian motions. We exhibit a simple approximate filter which is asymptotically optimal in the sense that, when the observation time tends to infinity, the variance of the corresponding filtering error converges to the same limit as for the exact optimal filter.

Document Type

Article

Language

English

Subjects and keywords

Fractional Brownian motion; Homogeneous linear system; Optimal filtering; Filtering error; Asymptotic variance

Publisher

 

Related items

SORT : statistics and operations research transactions ; Vol. 28, Núm. 2 (July-December 2004), p. 177-190

Rights

open access

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