火力与指挥控制2025，Vol.50Issue(2)：100-106,115,8.DOI:10.3969/j.issn.1002-0640.2025.02.014
基于残差BiLSTM和改进CBAM的航迹关联方法
Track Association Method Based on Residual BiLSTM and Improved CBAM
贾燎原 1曹伟 1张晓峰 1陆翔 1周恒亮1
作者信息
- 1. 中国船舶集团有限公司第七二四研究所,南京 210000
- 折叠
摘要
Abstract
For the current issue of low correlation accuracy in intelligent trajectory correlation algorithms,a residual BiLSTM-ICBAM trajectory correlation model is proposed,which is formed by combining a residual network,bi-directional long short-term memory network(BiLSTM),and an Improved Convolutional Block Attention Module(ICBAM).a residual network is introduced on the basis of the BiLSTM model,the model is enhanced the upstream and downstream trajectory features are extracted while network degradation problems are suppressed.The improved CBAM attention module is introduced,the correlation between input information and current trajectory features is analyzed,the impact of key features is highlighted,thereby local feature extraction capabilities and error-tracking abilities are enhanced.The experimental results on trajectory correlation data indicate that the residual BiLSTM-ICBAM trajectory correlation model exhibits significant performance advantages over the existing methods in terms of accuracy and stability.关键词
航迹关联/残差网络/双向长短时记忆神经网络/卷积注意力模块Key words
trajectory correlation/residual network/bi-directional long and short-term memory neural network/convolutional block attention module分类
信息技术与安全科学引用本文复制引用
贾燎原,曹伟,张晓峰,陆翔,周恒亮..基于残差BiLSTM和改进CBAM的航迹关联方法[J].火力与指挥控制,2025,50(2):100-106,115,8.
