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

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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Bibliographic Details
Main Authors: Jiayan Gan, Ang Hu, Ziyi Kang, Zhipeng Qu, Zhanxiang Yang, Rui Yang, Yibing Wang, Huaizong Shao, Jun Zhou
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
UAV
SEI
DCNN
SNR
power efficiency
Online Access:https://www.mdpi.com/1424-8220/22/17/6532

Internet

https://www.mdpi.com/1424-8220/22/17/6532

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