Regularization of a generalized Kalman filter Original Research Article

The authors derive equations for optimum and near-optimum Kalman filters for the filtration problem with a singular covariance matrix for the noise in the observations in the case when the processes under consideration are described by Itoʹs stochastic differential equations with measure.