Другие журналы
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Mikaelyan
77-30569/238271 Filtering methods based on multipoint approximation of the estimation probability density in defining the target motion rate parameters with nonlinear sensor
Engineering Education # 10, October 2011 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.
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