An Improved Unauthorized Unmanned Aerial Vehicle Detection Algorithm Using Radiofrequency-Based Statistical Fingerprint Analysis

Unmanned aerial vehicles (UAVs) are now readily available worldwide and users can easily fly them remotely using smart controllers. This has created the problem of keeping unauthorized UAVs away from private or sensitive areas where they can be a personal or public threat. This paper proposes an imp...

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Detalles Bibliográficos
Autores principales: Yang, Shengying, Qin, Huibin, Liang, Xiaolin, Gulliver, Thomas Aaron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359474/
https://www.ncbi.nlm.nih.gov/pubmed/30641959
http://dx.doi.org/10.3390/s19020274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359474/
https://www.ncbi.nlm.nih.gov/pubmed/30641959
http://dx.doi.org/10.3390/s19020274

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