Method for classification of UAV flight control RF signals based on multi-scale divergence entropy and optimized neural networks.
- DOI
- 10.1038/s41598-025-25498-z
- Published
- 2026 Mar 9
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-25498-z,
title = {Method for classification of UAV flight control RF signals based on multi-scale divergence entropy and optimized neural networks.},
author = {Liu B and Liu J and Shi M and Zhao L},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-025-25498-z},
url = {https://doi.org/10.1038/s41598-025-25498-z}
}RIS
TY - JOUR TI - Method for classification of UAV flight control RF signals based on multi-scale divergence entropy and optimized neural networks. AU - Liu B AU - Liu J AU - Shi M AU - Zhao L PY - 2026 JO - Scientific reports DO - 10.1038/s41598-025-25498-z UR - https://doi.org/10.1038/s41598-025-25498-z ER -
APA
B, L., J, L., M, S., & L, Z. (2026). Method for classification of UAV flight control RF signals based on multi-scale divergence entropy and optimized neural networks.. Scientific reports. https://doi.org/10.1038/s41598-025-25498-z
Source records
- pubmed · retrieved 2026-09-26T05:13:54.470Z