BeamformNet: A Deep Learning Approach to Direction of Arrival (DoA) Estimation
Analysis
This ArXiv paper introduces BeamformNet, a novel deep learning-based beamforming method for Direction of Arrival (DoA) estimation. The research focuses on improving the accuracy of DoA estimation through implicit spatial signal focusing and noise suppression.
Key Takeaways
Reference
“The paper focuses on DoA estimation via implicit spatial signal focusing and noise suppression.”