Deep learning-based Direction-of-arrival estimation for far-field sources under correlated near-field interferences.
Hojun LeeYongcheol KimSeunghwan SeolJaehak ChungPublished in: ICT Express (2023)
Keyphrases
- direction of arrival
- deep learning
- doa estimation
- signal subspace
- canonical correlation analysis
- unsupervised learning
- machine learning
- estimation error
- mental models
- signal to noise ratio
- linear array
- weakly supervised
- higher order
- supervised learning
- training data
- hyperspectral
- learning strategies
- parameter estimation
- sound source
- correlation matrix
- hidden markov models