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.
Square-root lasso: Pivotal recovery of sparse signals via conic programming
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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.