arXiv · 2407.06386
A Kalman filter for linear systems driven by time-space Brownian sheet
Abstract
We study a linear filtering problem where the signal and observation processes are described as solutions of linear stochastic differential equations driven by time-space Brownian sheets. We derive a stochastic integral equation for the conditional value of the signal given the observation, which can be considered a time-space analogue of the classical Kalman filter. The result is illustrated with examples of the filtering problem involving noisy observations.
Explore related subjects
Keep this discovery
Nacira Agram, Bernt Øksendal, Frank Proske, Olena Tymoshenko. 2024-07-08. A Kalman filter for linear systems driven by time-space Brownian sheet. https://arxiv.org/abs/2407.06386
Cite the original work for its findings. Save a collection to share your selection of sources.