Nonlinear Filtering for Stochastic Variational Inequality using White Noise Model

A nonlinear filtering problem where the signal is the solution of a nonlinear stochastic variational inequality is investigated. The finitely additive white noise framework is used to model the observation process. The Zakai equation for the unnormalized conditional density belongs to a class of second order partial differential equations with homogeneous Dirichlet boundary conditions.