A new algorithm for satellite autonomous navigation based on information fusion
Miao Ying, Sun Zhaowei · 2008
In this paper, an effective and reliable algorithm for satellite autonomous navigation is proposed. In order to speed the convergence of navigation errors, the autonomous navigation algorithm is designed with information fusion of magnetometer and radar altimeter. In this algorithm, a modified UKF is applied to perform the information fusion. Compare with conventional UKF and EKF, the modified UKF simplified the estimating process, improves the efficiency. Through the combined filter, a global optimum estimated state value is obtained. Simulation results show this information fusion navigation algorithm is steady and converge fast.