Automatic modulation classification (AMC) has been a critical task in non-cooperative communication systems, yet the application of deep learning to this domain faces challenges. In this letter, we propose a multi-level spatiotemporal framework for AMC. The model integrates a series of fundamental deep learning compone...
Unmanned aerial vehicle (UAV) recognition has become increasingly important for securing the low-altitude economy. Radio frequency (RF) signal analysis using deep learning (DL) has emerged as a promising approach to this task. However, training robust DL models relies on large-scale labeled datasets, which are costly t...
Applying foundation models to the radio frequency (RF) domain presents unique challenges due to the intrinsic physical complexity of raw I/Q signals and the extreme heterogeneity of spectral data. In this paper, we present Radio-FM, a scalable family of foundation models designed for universal radio signal representati...
Jin-Chao Zhou, Wu-Peng Xie, Zhuangzhi Chen et al.· 0 citations
Wi-Fi-based human activity recognition (HAR) using channel state information (CSI) provides a nonintrusive and device-free sensing solution for smart cities, healthcare monitoring, and smart homes. However, recognition performance often degrades when models trained on limited users are applied to unseen users due to va...
Fucheng Miao, Osamu Takyu, Shan Lin et al.· IEEE Internet of Things Jour...· 0 citations
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