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...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 257; s. 118906
Hlavní autori:	Gao, Zhanpeng, Yi, Wenjun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.01.2026
Predmet:	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
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