Abstract
By applying multi-model adaptive control technology in data fusion of integrated navigation system, the multi-mode adaptive Kalman filter in the integrated navigation system is designed to overcome the problem of filtering accuracy reduction of inertial navigation system due to the changes in the external sensor status parameter with single mode Kalman filter model in the integrated navigation system. The simulation analysis is carried out on the system noise interference vector caused by the change of external environment and the change of the noise interference vector of measurement. The simulation results of a single model filter and the simulation results of multi-model adaptive filter are obtained. Based on the simulation results, it can be seen that compared with the single model Kalman filter, the multi-model adaptive filter is more accurate in the state error estimation of the system, and shows strong adaptability to the changes of the external environment.
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