MaRNet: A UAV Radio Frequency Recognition Method Combining Mamba With ResNet

In the paper, we investigate radio frequency (RF) signal detection for unmanned aerial vehicles (UAVs) under low signal-to-noise ratio (SNR) conditions. We propose a novel architecture, MaRNet, which synergistically combines a Mamba module with a Residual Network (ResNet) framework. First, the Short...

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Bibliografiske detaljer

Principais autores:	Yin Mi, Rongxin Wen, Jingxu Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2026-01-01
Serier:	IEEE Access
Fag:	UAV detection and identification deep learning (DL) radio frequency short-time fourier transform Mamba ResNet
Online adgang:	https://ieeexplore.ieee.org/document/11359159/
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