Air target intention recognition is an important part of battlefield situation recognition.In order to further improve the accuracy and real-time performance of air target intention recognition,a method of air target intention recognition based on improved long short term memory(LSTM)network model RL-LSTM is was proposed.Firstly,the real-time state data of the target is obtained,and the last moment state of the target is taken as the model input.The RL-LSTM model is used to learn the motion and time related feature information of seven Kinds of common intentions.Finally,the target intention is recognized by Softmax classifier.The simulation experiments show that this model improves the re-cognition accuracy and efficiency of existing neural network models.
关键词
空中目标/意图识别/RL-LSTM模型/神经网络
Key words
air target/intention recognition/RL-LSTM model/neural network
维普
万方数据