Signal Preprocessing Technique With Noise-Tolerant for RF-Based UAV Signal Classification

Signal Preprocessing Technique With Noise-Tolerant for RF-Based UAV Signal Classification

Since the beginning of the COVID-19 pandemic, the demand for unmanned aerial vehicles (UAVs) has surged owing to an increasing requirement of remote, noncontact, and technologically advanced interactions. However, with the increased demand for drones across a wide range of fields, their malicious us...

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Bibliographic Details
Main Authors: Dae-Il Noh, Seon-Geun Jeong, Huu-Trung Hoang, Quoc-Viet Pham, Thien Huynh-The, Mikio Hasegawa, Hiroo Sekiya, Sun-Young Kwon, Sang-Hwa Chung, Won-Joo Hwang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Anti-drone systems
convolutional neural networks (CNNs)
noise-tolerant
spectrograms
unmanned aerial vehicles (UAVs)
UAV classification
Online Access:https://ieeexplore.ieee.org/document/9998502/

Internet

https://ieeexplore.ieee.org/document/9998502/

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