A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors.
Mohamed Shawki ElamirHeinrich GotzigRaoul ZoellnerPatrick MaederPublished in: CoRR (2022)
Keyphrases
- deep learning
- doa estimation
- direction of arrival
- signal subspace
- sensor array
- unsupervised learning
- canonical correlation analysis
- machine learning
- weakly supervised
- mental models
- correlation matrix
- linear array
- line fitting
- similarity measure
- estimation error
- co occurrence
- supervised learning
- probabilistic model
- pairwise