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.
Single-sample direction-of- arrival estimation by Hankel-matrix decompositions
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2026 2verdicts
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New algorithms for rank-1 Hankel and Toeplitz matrix approximations under L2 and L1 norms yield maximum-likelihood optimal estimators for few-shot 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.
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Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation
New algorithms for rank-1 Hankel and Toeplitz matrix approximations under L2 and L1 norms yield maximum-likelihood optimal estimators for few-shot direction-of-arrival estimation.