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
- 2026-03-09
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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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 = {Bing Liu and Jiaqi Liu and Mingxin Shi and Li Zhao},
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 - Bing Liu AU - Jiaqi Liu AU - Mingxin Shi AU - Li Zhao PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-025-25498-z UR - https://doi.org/10.1038/s41598-025-25498-z ER -
APA
Liu, B., Liu, J., Shi, M., & Zhao, L. (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
- crossref · retrieved 2026-11-10T17:57:53.731Z