A Hankel-structured sensing and decomposition approach yields maximum-likelihood optimal estimators for multi-signal DoA under Gaussian and Laplace noise, with simulations showing improved resolution at lower SNR.
Hankel and Toeplitz rank-1 decomposition of arbitrary ma- trices with applications to few-shot signal direction-of-arrival estimation
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Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition
A Hankel-structured sensing and decomposition approach yields maximum-likelihood optimal estimators for multi-signal DoA under Gaussian and Laplace noise, with simulations showing improved resolution at lower SNR.