Deep Networks for Direction of Arrival Estimation With Sparse Prior in Low SNR
This work introduces direction of arrival (DOA) estimation considering the sparsity prior in the low signal to noise ratio (SNR) using deep learning (DL). The sparsity of the representation can be prompted to realize super-resolution DOA estimation of the spatial spectrum. The undersampled noisy lin...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10115420/ |