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Short-Term Target Maneuvering Trajectory Prediction Using DTW–CNN–LSTM

Short-Term Target Maneuvering Trajectory Prediction Using DTW–CNN–LSTM

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4652505ee6cc45d28854e4185966cb6c

Short-Term Target Maneuvering Trajectory Prediction Using DTW–CNN–LSTM

About this item

Full title

Short-Term Target Maneuvering Trajectory Prediction Using DTW–CNN–LSTM

Publisher

New York: John Wiley & Sons, Inc

Journal title

International journal of aerospace engineering, 2025-01, Vol.2025

Language

English

Formats

Publication information

Publisher

New York: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

This paper introduces a novel prediction model designed to mitigate the substantial data dependency associated with maneuver trajectory prediction in unmanned combat air vehicles (UCAVs) during air combat. Considering the characteristics of high noise, dynamic complexity, and variable data lengths inherent in short-range air combat scenarios, we em...

Alternative Titles

Full title

Short-Term Target Maneuvering Trajectory Prediction Using DTW–CNN–LSTM

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4652505ee6cc45d28854e4185966cb6c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4652505ee6cc45d28854e4185966cb6c

Other Identifiers

ISSN

1687-5966

E-ISSN

1687-5974

DOI

10.1155/ijae/6484090

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