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RF Signal-Based UAV Detection and Mode Classification: A Joint Feature Engineering Generator and Multi-Channel Deep Neural Network Approach

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posted on 02.11.2021, 18:52 authored by Shubo YangShubo Yang, Yang Luo, Wang Miao, Changhao Ge, Wenjian Sun, Chunbo Luo
With the proliferation of Unmanned Aerial Vehicles (UAVs) to provide diverse critical services, the accurate detection of these small devices and the efficient classification of their flight modes are of paramount importance. In this paper, we propose a joint Feature Engineering Generator (FEG) and Multi-Channel Deep Neural Network (MC-DNN) approach.

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Email Address of Submitting Author

2018190607005@std.uestc.edu.cn

Submitting Author's Institution

University of Electronic Science and Technology of China

Submitting Author's Country

China