Abstract
A novel nonlinear state estimation technique called Current Output Filter is proposed in this paper. By taking two successive measurements into account and optimizing the coefficients of the proposed filter structure, an unbiased minimum variance state estimation algorithm with guaranteed estimation error performance is derived for scalar nonlinear systems. The performance of this filter is shown to be superior to the Extended Kalman Filter (EKF) in simulations. An application to a chaotic communication scheme is also presented in this work.
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