Application of Adaptive Kalman Filter to Missile Fixed SINS/GPS Integrated Navigation System based on Predictive Filtering
Zhemin Duan · Fire Control and Command Control · 2010
A novel adaptive kalman filtering algorithm based on predictive filter is investigated.The adaptive algorithm utilize the predictive filter to estimate the model error and its covariance.Then they are employed to compensate for the predicted state estimate and its covariance.The kalman filter gain is adaptively tuned by the compensated predicted state estimate and covariance.The adaptive algorithm is applied to missle fixed SINS/GPS tightly coupled integrated navigation systems.The simulation results are shown to compare the performance of normal kalman filter,innovation based adaptive kalman filter and the adaptive algorithm presented in this paper.