Asymptotically optimal filtering in linear systems with fractional Brownian noises
PublisherInstitut d'Estadística de Catalunya
Rights accessOpen Access
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.
CitationLe Breton, Alain; Kleptsyna, Marina L.; Viot, Michel. "Asymptotically optimal filtering in linear systems with fractional Brownian noises". SORT, 2004, Vol. 28, núm. 2