Mikaelyan

The article considers nonlinear filtering methods based on approximation of estimation probability density by means of a set of weighed points in phase space. The given methods are applied to one problem of a target tracking with nonlinear radar sensor. The article provides results of modeling the algorithms in comparison with widely used classical and extended Kalman filtering algorithms.