Lightweight modulation recognition of underwater acoustic communication signals

Keyphrases

• Underwater Acoustic Communication Signals 100%
• Modulation Recognition 100%
• Channel-wise Attention 40%
• Automatic Modulation Classification 40%
• Recognition Schemes 40%
• Memory Requirements 20%
• Experiment Results 20%
• Correlation Analysis 20%
• Underwater Acoustic Channel 20%
• Signal-to-noise Ratio 20%
• Machine Learning Based 20%
• Classification Performance 20%
• Recognition Accuracy 20%
• Simulated Dataset 20%
• Underwater Acoustic Signal 20%
• Underwater Platform 20%
• Power Spectrum 20%
• Multipath Interference 20%
• Process Requirements 20%
• Model Residuals 20%
• Machine Learning Technology 20%
• Time-varying Characteristics 20%
• Interference Identification 20%
• Limited Computing Resources 20%
• Signal Demodulation 20%
• Signal Monitoring 20%
• Lightweight Feature Extraction 20%
• High Recognition Accuracy 20%
• Electronic Countermeasures 20%
• Hybrid Attention 20%
• Low Computational Burden 20%
• High Energy Efficiency 20%
• Underwater Electronics 20%
• Lightweight Network 20%

Computer Science

• underwater acoustic communication 100%
• Optical Spectrum 40%
• Recognition Accuracy 40%
• Memory Requirement 20%
• Computing Resource 20%
• Attention (Machine Learning) 20%
• Correlation Analysis 20%
• Baseline Model 20%
• Underwater Acoustic Signal 20%
• Energy Efficiency 20%
• Classification Performance 20%
• Machine Learning 20%
• Learning System 20%
• Feature Extraction 20%
• Signal-to-Noise Ratio 20%
• Machine Learning Technology 20%
• Signal Demodulation 20%