Track Prediction of Small UAV Based BP Network

With the development of artificial intelligence technology, communication technology, network technology, as well as the reduction of UAV operating costs and other factors, the application scope and fields of civil UAVs in China are expanding rapidly. It has been used in urban logistics, line inspection, Geological disaster prediction, emergency rescue, geographic surveying and mapping, mountain transportation and other civilian applications in China. However, due to the variety of UAVs and the complex operating environment, UAV trajectory analysis and trajectory prediction are still research issues. Aiming at the problem of small UAV motion characteristics and trajectory prediction, based on the establishment of operating scenes to analyze the motion characteristics of UAVs, a four-rotor UAV trajectory prediction model based on BP neural network is established. And by using SPARK small four-rotor and the actual flight of the UAV, the relevant motion characteristic data is obtained to predict the track, and the MATLAB simulation results verify the effectiveness of the model.