Evaluating underwater acoustics sensor network based on sparse LMS algorithm driven physical layer

Keyphrases

• Physical Layer 100%
• Underwater Wireless Sensor Networks 100%
• Network Applications 100%
• Least Mean Square 100%
• Least Square Algorithm 100%
• Time Propagation 33%
• Response-adapted 33%
• Performance Evaluation 33%
• Time Delay 33%
• Kalman Filter 33%
• Multi-path Structure 33%
• Underwater Acoustic Channel 33%
• Channel Estimation 33%
• Equalization Techniques 33%
• Sparsity 33%
• Underwater Networks 33%
• Underwater Acoustic Networks 33%
• Underwater Communication 33%
• Limited Bandwidth 33%
• Multipath 33%
• L1-norm 33%
• Doppler Effect 33%
• Channel Response 33%
• Shallow Water Channel 33%
• Norm Constraint 33%
• Non-uniform Norm 33%
• L0 Norm 33%
• Channel Estimation Algorithm 33%
• Ns-3 33%
• Radio Channel 33%
• Square Norm 33%
• Channel Variation 33%
• Adaptive Iteration 33%
• Comprehensive Performance 33%

Engineering

• Sensor Network 100%
• Least Mean Square 100%
• Channel Estimation 50%
• Limited Bandwidth 25%
• Sparsity 25%
• Multipath Structure 25%
• Based Kalman Filter 25%
• Doppler Effect 25%
• Channel Response 25%
• Radio Channel 25%
• End Time 25%
• Channel Variation 25%