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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 257; S. 118906
Hauptverfasser:	Gao, Zhanpeng, Yi, Wenjun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.01.2026
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!