Recurrent filtering of non-Gaussian signals in natural conjugate class of distributions

The problem of nonlinear filtering of stochastic signals on the basis of available non-Gaussian observations in discrete time is considered with applications to signal reception in channels with scattering (water, atmosphere). The method of recurrent filtering is proposed which is based on natural conjugate and minimax principles.