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.
关键词
近距博弈任务格斗/飞行机动识别/长短期记忆深度神经网络/随机森林/支持向量机
Key words
close game mission combat/flight maneuver recognition/LSTM deep neural network/random forest/sup-port vector machine
维普
万方数据