火力与指挥控制2024，Vol.49Issue(2)：75-81,7.DOI:10.3969/j.issn.1002-0640.2024.02.011
基于RL-LSTM的空中目标意图识别方法
Research on Air Target Intention Recognition Method Based on RL-LSTM
摘要
Abstract
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分类
信息技术与安全科学引用本文复制引用
张鹏程,张勇,李建国,张鹏飞,魏鑫..基于RL-LSTM的空中目标意图识别方法[J].火力与指挥控制,2024,49(2):75-81,7.基金项目
军委科技委基金资助项目(2019XXX) （2019XXX）
