Research on Flight Maneuver Recognition Method Based on LSTM Deep Neural Network
Flight maneuvering is an important part of the OODA loop formation of the air game mission,involving many key technologies such as situation observation,tactical decision-making,and pilot control execution.For the problem of ma-neuver recognition in short-range flight missions,a maneuver recognition method based on LSTM(Long Short Term Memo-ry)deep neural network has been developed.This method can effectively reduce the dependence of maneuver recognition on domain knowledge and achieve automatic recognition of the five main types of maneuvers in short-range flight missions.The performance of the maneuver recognition method has been tested based on flight data collected in a high-fidelity flight sim-ulation environment.The results show that the proposed maneuver recognition method have achieved an average maneuver recognition accuracy of 95％in five types of close flight missions,and the average recognition accuracy exceeds the baseline maneuver recognition method based on random forest and support vector machine,proving the effectiveness and advancement of the method in solving maneuver recognition tasks in short-range flight missions.
close game mission combatflight maneuver recognitionLSTM deep neural networkrandom forestsup-port vector machine
万方数据
维普
