SHELL: Simple solution witH ELegant detaiLs to Sub-Nyquist Modulation Recognition
Kebin Wu ⋅ Yu Tian ⋅ Ebtesam Almazrouei ⋅ Faouzi Bader
2023 Lightning Talk
in
Workshop: Machine Learning for IoT: Datasets, Perception, and Understanding
in
Workshop: Machine Learning for IoT: Datasets, Perception, and Understanding
Abstract
Automatic modulation recognition of sub-Nyquist spectrum sensing is essential to demodulate and process the signals in a spectrum- and energy-efficient Internet of Things system. Motivated by the recent advances of deep learning, a promising direction is to automatically predict the modulation based on data-driven representation instead of hand-crafted features. Specifically, our solution SHELL (Simple solution witH ELegant detaiLs) provides a simple yet effective approach, which is capable of achieving high modulation recognition accuracy without complex network structure.
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