Research On Information Fusion Method In Satellite Multi-sensor Attitude Determination Systems
Liangdong Liu · Journal of Astronautics · 2005
Based on federated Kalman filter, a new information fusion algorithm in the solution of state estimation problem arising from satellite multi-sensor attitude determination systems is presented. The information sharing factors are dynamically determined according to the traces of the covariance matrix. State error equation represented by quaternion error and measurement equations of local filters are given. The simulation results indicate that divergence of filter can be inhibited and the accuracy and convergence speed to the whole system can be improved.