Deep Learning Approach to UAV Detection and Classification by Using Compressively Sensed RF Signal

Recently, the frequent occurrence of the misuse and intrusion of UAVs has made it a research challenge to identify and detect them effectively, and relatively high bandwidth and pressure on data transmission and real-time processing exist when sampling UAV communication signals using the RF detectio...

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Detalles Bibliográficos
Autores principales: Mo, Yongguang, Huang, Jianjun, Qian, Gongbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031341/
https://www.ncbi.nlm.nih.gov/pubmed/35459057
http://dx.doi.org/10.3390/s22083072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031341/
https://www.ncbi.nlm.nih.gov/pubmed/35459057
http://dx.doi.org/10.3390/s22083072

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