Research on key technologies of performance navigation for civil aircraft based on multi-sensor information fusion

In order to ensure the safe operation of special airports, RNP AR, a new navigation specification, is widely used. To meet the performance requirements of RNP AR for navigation systems, civil aircraft are generally equipped with multiple navigation sensors. Therefore, designing the integrated navigation algorithm and carrying out efficient fault-tolerant fusion processing of sensor information is the primary challenge in implementing RNP AR. In this paper, the mechanism of the influence of sensor anomalies on the integrated navigation system performance was explored, followed by the introduction of a new adaptive federated Kalman filter (FKF) structure. Simulation findings indicate that the accuracy performance of this method is superior to the traditional FKF, which provides a new idea to make sure that the civil aircraft meets the performance requirements of RNP AR.