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.
New method of sparse parameter estimation in separable models and its use for spectral analysis of irregularly sampled data,
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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.