Application of Fuzzy Federal Kalman Filtering in the Airport Automatic Docking Guidance System

A novel method based on Fuzzy Federal Kalman Filtering is presented, which is mainly used to improve the reliability of the Airport Automatic Docking Guidance System when measure values of sensors are fluctuated. If the measure values are fluctuated, the state vector covariance of each local filtering is modified by using the Fuzzy Inference System (FIS) to modify the weight of each fusion data online in main filtering, accordingly the disturbance of the fluctuation data is reduced. Experiment results proved that the algorithm was feasible to improve the reliability of the system.