基于Mogrifier-BiGRU的飞行器轨迹预测  

Prediction of Aircraft Trajectory Based on Mogrifier-BiGRU

作　　者：张堃[1,2] 杜睿怡 时昊天 华帅 ZHANG Kun;DU Ruiyi;SHI Haotian;HUA Shuai(School of Electronics and Information,Northwestern Polytechnical University,Xi'an 710000,Shaanxi,China;Science and Technology on Electro-Optical Control Laboratory,Luoyang 471000,Henan,China;Xi'an Institute of Modern Control Technology,Xi'an 710000,Shaanxi,China)

机构地区：[1]西北工业大学电子信息学院,陕西西安710000 [2]光电控制技术重点实验室,河南洛阳471000 [3]西安现代控制技术研究所,陕西西安710000

出　　处：《兵工学报》2024年第2期373-384,共12页Acta Armamentarii

基　　金：陕西省重点研发计划项目(2022GXLH-02-09);航空科学基金项目(20200051053001)。

摘　　要：针对当前飞行器轨迹预测准确性低的问题,引入双向传播机制和Mogrifier数据耦合模块,改进传统门控循环单元网络,提出基于Mogrifier-BiGRU的飞行器轨迹预测算法,加强网络对历史数据的学习与记忆,使得输入信息与隐藏层数据的充分耦合,提高预测准确度。仿真结果表明,所提方法对飞行器轨迹预测的准确度可达到96.26%,满足我方作战指挥人员对战场态势趋势准确预测的实际需求。For the low accuracy of trajectory prediction of current aircraft,the bidirectional propagation mechanism and Mogrifier data coupling module are introduced to improve the gated recurrent unit(GRU)network.A prediction algorithm of aircraft trajectory based on Mogrifier-BiGRU is proposed,which strengthens the learning and memory of historical data,makes the input information fully coupled with the hidden layer data,and improves the prediction accuracy.The simulated results show that the accuracy of the proposed method for predicting the aircraft maneuver trajectory can reach 96.26%,which meets the actual demand of combat commanders for accurate prediction of battlefield situation.

关 键 词：轨迹预测 双向门控循环单元 Mogrifier数据模块 深度学习 

分 类 号：E926[军事—军事装备学]