Spectrum sensing for cognitive radios using Kriged Kalman filtering

Keyphrases

• Cognitive Radio 100%
• Spectrum Sensing 100%
• Kriged Kalman Filter 100%
• Geostatistics 50%
• Spatiotemporal Variation 50%
• Loss-based 50%
• Regression Coefficient 50%
• Regression Techniques 50%
• L1-norm 50%
• Sparse Regression 50%
• Sensing Algorithm 50%
• Path Loss 50%
• Channel Gain 50%
• Performance Advantage 50%
• Cooperative Spectrum Sensing 50%
• RF Propagation 50%
• Coefficient Vector 50%
• Unknown Number 50%
• Cognitive Radio Networks 50%
• Spectrum Sensing Algorithm 50%
• Weighted Least Squares Criterion 50%
• Gain Map 50%

Engineering

• Filtration 100%
• Cognitive Radio 100%
• Sensing Algorithm 100%
• Channel Gain 50%
• Primary User 50%
• Cognitive Radio Networks 50%
• Regression Technique 50%
• Cooperative Spectrum Sensing 50%
• Path Loss 50%
• Geographical Area 50%
• Least Square 50%
• Temporal Variation 50%
• Regression Coefficient 50%

Computer Science

• Cognitive Radio 100%
• Least Squares Methods 50%
• Regression Coefficient 50%
• Temporal Variation 50%
• Cognitive Radio Networks 50%
• Geographical Area 50%