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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| Hlavní autoři: | , , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2022-08-01
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| Edice: | Sensors |
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| On-line přístup: | https://www.mdpi.com/1424-8220/22/17/6532 |
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