Deep learning‐based unmanned aerial vehicle detection in the low altitude clutter background

Abstract Unmanned aerial vehicles (UAVs), widely used due to their low cost and versatility, pose security and privacy threats, which calls for their reliable recognition at low altitudes. However, strong ground clutter and multipath effects severely interfere with the weak radar echoes reflected of...

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Bibliographic Details
Main Authors: Zeyang Wu, Yuexing Peng, Wenbo Wang
Format: Article
Language:English
Published: Wiley 2022-07-01
Series:IET Signal Processing
Subjects:
Online Access:https://doi.org/10.1049/sil2.12133