Trajectory prediction method for incoming guided projectiles based on the fusion of Temporal Convolutional Network and dual attention mechanisms

To improve the response speed and missile interception accuracy of combat systems, this paper proposes a trajectory prediction method for incoming projectiles based on the TCN-ECA-BiGRU-Attention model. First, trajectory prediction datasets are constructed under various combat scenarios. Compared wi...

Full description

Bibliographic Details

Published in:	Measurement : journal of the International Measurement Confederation Vol. 257; p. 118906
Main Authors:	Gao, Zhanpeng, Yi, Wenjun
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.01.2026
Subjects:	Anti-missile interception Attention mechanism Bidirectional gated recurrent unit Temporal convolutional network Trajectory prediction Attention mechanism Trajectory prediction Temporal convolutional network Bidirectional gated recurrent unit Anti-missile interception
ISSN:	0263-2241
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!