Research of Flight Trajectory Trend Prediction System Based on RBF Network

Aircraft flight trajectory trend prediction has become an important part of air combat technology. The maturity of this technology has important research significance and application value in military, industrial and other fields. In order to improve the real-time performance of the prediction algorithm, this paper proposes to establish a flight trajectory trend prediction system based on the RBF network, install a high-definition camera to obtain the single station measurement video, build a motion trend prediction network model through the previous motion trend learning and training against the historical data of the land section, and realize the intelligent prediction of aircraft motion trend. The system can combine with the flight state parameters to modify the learning network which is modified to improve the accuracy and robustness of the trend prediction network. Then the system will achieve rapid and accurate results.