The fault-detection method of a navigation system based on a strong tracking unscented kalman filter

Based on the reentry navigation requirements of a reusable boost vehicle, in order to ensure reentry navigation with high precision and high reliability in the highly dynamic environment, a kind of improved strong tracking unscented Kalman Filter was used for state estimation and tracking. Considering to the shortcomings of the traditional fault detection method resulting from the residual errors of the Kalman filter, a kind of novel fault detection method was developed for checking the working state of each navigation sensor. The effective isolation of fault situation was carried out using a smooth window. The simulation results under typical failure distributions validate the satisfactory fault-tolerant performance of the method. The improved fault detection method can accurately detect fault information of the navigation device and isolate the fault effectively, ensuring the high precision and reliability of the navigation system.