Research on adaptive Kalman filter algorithm based on fuzzy neural network

When the plant of an integrated SINS/GPS navigation system dynamics or noise processes are not exactly known, or the noise processes are not zero mean white noise, divergence problems will occur. In this paper, a based on intelligent information fusion technology -fuzzy neural network adaptive system is used to adjust the exponential weighting of a weighted Kalman filtering and prevent it from divergence. The simulation results show that in the case of gradually increasing noise statistics, the fuzzy neural network adaptive algorithm is robust and has high accuracy.