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Sparse reconstruction method for Direction-of-Arrival estimation using Vector sensor array
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DOI：10.1016/j.sigpro.2025.110176.png)
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Abstract
En 中文
• Proposes SBL-V and MSBL-V methods using acoustic vector sensor arrays. • Builds a noise model tailored to uniform linear AVS arrays for robustness. • Improves hyperparameter and noise estimation via AVS signal structure. • Enhances ambiguity suppression through AVS and sparse modeling synergy. • Outperforms APS- and AVS-based methods in resolution and estimation accuracy.
Keywords:
Sparse Bayesian learning
Vector sensor
DOA estimation
Hyperparameter estimation
Journal
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3.6
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9.9K
Citations:
1.7W
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