Generalized Automatic Modulation Classification for OFDM Systems Under Unseen Synthetic Channels

Toward Collaborative and Channel-Robust Automatic Modulation Classification for OFDM Signals

Y Chen, J He, W Jiang, Y Zhang… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is one of the most crucial technologies for
identifying the modulation formats of unknown wireless signals in cognitive radio. However …
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APL: Integrated Discriminative Features and Robust Boundary for Modulation Open-Set Recognition

Z Zhang, M Zhu, Y Li, S Wang - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
As the electromagnetic environment becomes increasingly complex, traditional Automatic
Modulation Recognition (AMR) methods cannot handle unknown modulation types that may …
相关文章 所有 3 个版本

Channel-robust Automatic Modulation Classification Using Companding Spectral Quotient Cumulants

S Huang, Y Chen, J He, S Chang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is to identify the modulation format of the received
signal corrupted by the channel effects and noise. Most existing works focus on the impact of …
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Transfer learning-assisted modulation classification and OSNR estimation using constellation diagrams

DK Jha, JK Mishra - Journal of Optics, 2024 - iopscience.iop.org
A cost-effective deep transfer learning (TL) learned with characteristics derived from the
constellation diagram is proposed for executing modulation classification and optical signal …
相关文章 所有 2 个版本