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A Splitting Method for Nonlinear Filtering Problems with Diffusive and Point Process Observations

A Splitting Method for Nonlinear Filtering Problems with Diffusive and Point Process Observations

Year:    2024

Author:    Fengshan Zhang, Yongkui Zou, Shimin Chai, Yanzhao Cao

Communications in Computational Physics, Vol. 36 (2024), Iss. 4 : pp. 996–1020

Abstract

This paper aims to develop and analyze a comprehensive discretized splitting-up numerical scheme for the Zakai equation. This equation arises from a nonlinear filtering problem, where observations incorporate noise modeled by point processes and Wiener processes. Initially, we introduce a regularization parameter and employ a splitting-up approach to break down the Zakai equation into two stochastic differential equations and a partial differential equation (PDE). Subsequently, we employ a finite difference scheme for the temporal dimension and the spectral Galerkin method for the spatial dimension to achieve full discretization of these equations. This results in a numerical solution for the Zakai equation using the splitting-up technique. We demonstrate that this numerical solution converges to the exact solution with a convergence order of $\frac{1}{2}.$ Additionally, we conduct several numerical experiments to illustrate and validate our theoretical findings.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2024-0075

Communications in Computational Physics, Vol. 36 (2024), Iss. 4 : pp. 996–1020

Published online:    2024-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    25

Keywords:    Nonlinear filtering problem Zakai equation splitting-up technique error analysis.

Author Details

Fengshan Zhang

Yongkui Zou

Shimin Chai

Yanzhao Cao