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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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  • Shubo Yang ,
  • Yang Luo ,
  • Wang Miao ,
  • Changhao Ge ,
  • Wenjian Sun ,
  • Chunbo Luo
Shubo Yang
University of Electronic Science and Technology of China

Corresponding Author:[email protected]

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Wang Miao
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Changhao Ge
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Wenjian Sun
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Chunbo Luo
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Abstract

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.
14 Dec 2021Published in Entropy volume 23 issue 12 on pages 1678. 10.3390/e23121678