A Study of Information Fusion for UAV Based on RBF Neural Network
Yuan Dongli, Yan Jianguo, Wang Xinmin, XI Qing-biao · 2007
We all know that it is very difficult to create accurate model for UAV navigation system because that this system is nonlinear system, at the same time, the environment information provided by information sources of multi-sensor in UAV is uncertain. Correspondingly, neural network can provide precise navigation information for UAV by fusing multi-source information that is uncertain, incomplete and mutually exclusive, accordingly to ensure navigation precise. This paper put forwards an information fusion method for UAV integrated navigation system based on RBF neural network. The simulation results show that this method can provide satisfactory navigation information.