SAS-SEINet: A SNR-Aware Adaptive Scalable SEI Neural Network Accelerator Using Algorithm–Hardware Co-Design for High-Accuracy and Power-Efficient UAV Surveillance †

As a potential air control measure, RF-based surveillance is one of the most commonly used unmanned aerial vehicles (UAV) surveillance methods that exploits specific emitter identification (SEI) technology to identify captured RF signal from ground controllers to UAVs. Recently many SEI algorithms b...

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Detalles Bibliográficos
Autores principales: Gan, Jiayan, Hu, Ang, Kang, Ziyi, Qu, Zhipeng, Yang, Zhanxiang, Yang, Rui, Wang, Yibing, Shao, Huaizong, Zhou, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460747/
https://www.ncbi.nlm.nih.gov/pubmed/36080990
http://dx.doi.org/10.3390/s22176532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460747/
https://www.ncbi.nlm.nih.gov/pubmed/36080990
http://dx.doi.org/10.3390/s22176532

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