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September 5, 2025Journal of Electrical Systems and Information TechnologyOpen Access

CNN-based modulation classification using image processing techniques for OFDM underwater acoustic communication system

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Authors

MAMohamed A. Abdel‐MoneimEEEl‐Sayed M. El‐RabaieFEFathi E. Abd El-Samie

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Overview

Analysis demonstrates high accuracy in modulation classification using CNNs over OFDM under underwater conditions.

Key Points

  • A CNN model achieves 99% accuracy in modulation classification under specific underwater conditions.
  • The model shows significant improvements compared to benchmarks, particularly with basic CNN architecture.
  • The study uses transmitted signals with various QAM and PSK modulation types across a signal-to-noise ratio range.
  • Challenges in underwater acoustic communication include multipath fading and ambient noise affecting performance.

Cite This Study

Abdel‐Moneim et al. (2025) studied this question.

synapsesocial.com/papers/68bb49bc6d6d5674bccff513https://doi.org/10.1186/s43067-025-00263-4
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