Two-Dimensional DOA Estimation via Deep Ensemble Learning
To achieve fast and accurate two-dimensional (2D) direction of arrival (DOA) estimation, a novel deep ensemble learning method is presented in this paper. First, a convolutional neural network (CNN) is employed to learn a mapping between the spatial covariance matrix of the received signals from the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9126786/ |