Linear filtering with fractional Brownian motion in the signal and observation processes

Kleptsyna, M. L.; Kloeden, P. E.; Anh, V. V.

doi:https://doi.org/10.1155/S1048953399000076

International Journal of Stochastic Analysis

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Volume 12 |Article ID 369754 | https://doi.org/10.1155/S1048953399000076

M. L. Kleptsyna, P. E. Kloeden, V. V. Anh, "Linear filtering with fractional Brownian motion in the signal and observation processes", International Journal of Stochastic Analysis, vol. 12, Article ID 369754, 6 pages, 1999. https://doi.org/10.1155/S1048953399000076

Linear filtering with fractional Brownian motion in the signal and observation processes

M. L. Kleptsyna,¹ P. E. Kloeden,² and V. V. Anh³

¹Russian Academy of Sciences, Institute of Information Transmission Problems, Moscow 101447, Russia

²Johan Wolfgang Goethe Universität, Fachbereich Mathematik, Frankfurt D-60054, Germany

³Queensland University of Technology, School of Mathematical Sciences, Brisbane 4001, Australia

Received01 Dec 1997

Revised01 Jul 1998

Abstract

Integral equations for the mean-square estimate are obtained for the linear filtering problem, in which the noise generating the signal is a fractional Brownian motion with Hurst index h∈(3/4,1) and the noise in the observation process includes a fractional Brownian motion as well as a Wiener process.

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Copyright © 1999 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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