Design of double ducted tilting SUAV navigation system based on multi-sensor information fusion

Recently, the UAV has become the research focus at home and abroad. this paper puts forward a new aircraft type: double ducted tilting Subminiature UAV system, and carries out the research of the navigation system for this suav. This paper puts forward to apply the gyroscope, accelerometer and magnetometer, using kalman filtering algorithm to establish the optimal attitude matrix, namely the best digital platform. The optimal attitude matrix based on this method can avoid the long-term accumulated errors of attitude matrix in conventional integrated navigation. In addition, the paper puts forward kalman algorithm combined with integrated navigation, which can be adjusted according to the motion information of the carrier. Based on this method, the integrated navigation system can gain the best navigation information under different motion state. Finally, this paper proves that the navigation system design based on multisensor information fusion.