New prediction algorithms by covariance information based on innovation theory

This paper states a new design method of recursive predictor and filter based on the innovations theory, using signal and noise covariance information, for white Gaussian and white Gaussian + coloured observation noises. The derived prediction and filtering algorithms estimate stationary stochastic signal processes.The digital simulation results indicate that the algorithms presented are feasible.