DOA Estimation with Sparse Bayesian Learning Using Hierarchical Half-Cauchy Prior with Spectra Refinement Strategy

Keyphrases

• Direction of Arrival Estimation 100%
• Refinement Strategies 100%
• Sparse Bayesian Learning 100%
• Half-Cauchy 100%
• Spectral Refinement 100%
• Cauchy Priors 100%
• Signal-to-noise Ratio 33%
• Spatial Domain 33%
• Noise Effects 33%
• Iterative Methods 33%
• Estimation Algorithms 33%
• Gaussian Noise 33%
• Power Source 33%
• Closed-form Expression 33%
• Sparsity 33%
• Iteration Matrix 33%
• Performance Estimation 33%
• Spectral-spatial Feature 33%
• Grid Resolution 33%
• Received Signal 33%
• Update Strategy 33%
• Block Matrix 33%
• Sparse Representation 33%
• Array Signal Processing 33%
• Recovery Theory 33%
• Sparse Signal Recovery 33%
• Variational Bayesian Inference 33%
• Structural Prior 33%
• Hierarchical Sparsity 33%
• Spectral Partitioning 33%
• Inverse gamma 33%
• Art Direction 33%
• Covariance Coefficient 33%
• SWellEx-96 33%
• Prior Updating 33%
• Mixing Prior 33%
• Induced Priors 33%

Engineering

• Direction-of-Arrival Estimation 100%
• Sparse Bayesian Learning 100%
• Refinement Strategy 100%
• Sparsity 66%
• Power Source 33%
• Simulation Result 33%
• Closed Form Expression 33%
• Gaussian White Noise 33%
• Signal-to-Noise Ratio 33%
• Spatial Domain 33%
• Sparse Signal 33%
• Block Matrix 33%
• Array Signal Processing 33%

Computer Science

• Bayesian Learning 100%
• direction-of-arrival 100%
• Sparsity 66%
• Critical Aspect 33%
• Estimation Algorithm 33%
• Estimation Performance 33%
• Sparse Representation 33%
• Array Signal Processing 33%
• closed-form expression 33%
• Spatial Domain 33%
• Iteration Matrix 33%
• Gaussian White Noise 33%
• Signal-to-Noise Ratio 33%