A Kalman Filter Algorithm for Nonlinear System with Unknown Time-varying Noise
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Graphical Abstract
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Abstract
A kind of noise statistics estimator based on finite difference Kalman filter algorithm, which has been presented for the nonlinear systems with unknown time varying noise, is considered in detail. Simulation results show that the algorithm has high precision and numerical stability, but the estimated states are sensitive to the initial error.
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