Zeyang Wu, Yuexing Peng, Wenbo Wang, Deep learning-based unmanned aerial vehicle detection in the low altitude clutter background, IET Signal Processing, 1–13, 2022.
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Journal:IET Signal Processing
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 off the micro-UAVs, resulting in severe degradation of recognition reliability. Based on channel modelling and UAV recognisability analysis, a time-frequency transform-aided contrastive learning model is proposed to suppress the severe ground clutter and reliably recognise low-altitude UAVs. In the proposed fr
Indexed by:Journal paper
Document Code:https://doi.org/10.1049/sil2.12133
Document Type:J
Volume:16
Issue:5
Page Number:588-600
Translation or Not:no
Included Journals:SCI
Links to published journals:https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/sil2.12133
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