The application of federated Kalman filtering in the information fusion technique

Multi-sensor data fusion is targeted by a number of similar or more classes of systems consisting of sensors launched a new information processing methods. As the needs of modern warfare, multi-sensor system are in large numbers. Therefore, how to effectively manage schedule of these sensors, give full play to their effectiveness, is a topic worthy of in-depth study. In this paper, Kalman filtering method for the study, through the joint Kalman filter design, Kalman filter is proposed based on the joint multi-sensor information fusion method. The simulation results and experiments show that using this method can achieve better data fusion.