现代信息科技2024，Vol.8Issue(22)：160-164,5.DOI:10.19850/j.cnki.2096-4706.2024.22.032
动目标智能航迹预测技术
Intelligent Trajectory Prediction Technology for Moving Target
陶世杰 1隋起胜2
作者信息
- 1. 北京信息科技大学 仪器科学与光电工程学院,北京 100192
- 2. 清华大学,北京 100084
- 折叠
摘要
Abstract
To address the problems of short observation time and inability to meet the continuous tracking demand when tracking and observing ships by in-orbit satellites,a hybrid model based on CNN,BiLSTM,and Self-Attention Mechanism for ship trajectory prediction to ensure that multiple satellites can work together to realize continuous and effective tracking and observation of ship.The experimental results show that the trajectories predicted by the model are very close to the real trajectories,and the Mean Absolute Error of the model is reduced by 40.7%and 13.8%compared with the BiLSTM model and CNN-BiLSTM model,respectively.Therefore,the model has high accuracy for trajectory prediction and can provide a basis for selecting appropriate satellites for monitoring.关键词
航迹预测/卷积神经网络/双向长短期记忆神经网络/自注意力机制Key words
trajectory prediction/CNN/BiLSTM/Self-Attention Mechanism分类
信息技术与安全科学引用本文复制引用
陶世杰,隋起胜..动目标智能航迹预测技术[J].现代信息科技,2024,8(22):160-164,5.
