2024
Deep Convolution Network Based Super Resolution DOA Estimation with Toeplitz and Sparse Prior
ICASSP 2024accepted
In this paper, a deep learning (DL) based approach is investigated for direction-of-arrival (DOA) estimation, where large-scale uniform linear arrays (ULAs) and small number of samples are considered. Different from existing DL based DOA estimators, the proposed solution first exploits the Toeplitz…