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• W2515475837 abstract "A bound for sparse reconstruction involving both the signal-to-noise ratio (SNR) and the estimation grid size is presented. The bound is illustrated for the case of a uniform linear array (ULA). By reducing the number of possible sparse vectors present in the feasible set of a constrained ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sub> -norm minimization problem, ambiguities in the reconstruction of a single source under noise can be reduced. This reduction is achieved by means of a proper selection of the estimation grid, which is naturally linked with the mutual coherence of the sensing matrix. Numerical simulations show the performance of sparse reconstruction with an estimation grid meeting the provided bound demonstrating the effectiveness of the proposed bound." @default.
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• W2515475837 date "2016-06-01" @default.
• W2515475837 modified "2023-09-23" @default.
• W2515475837 title "Bound on the estimation grid size for sparse reconstruction in direction of arrival estimation" @default.
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• W2515475837 doi "https://doi.org/10.1109/ssp.2016.7551781" @default.
• W2515475837 hasPublicationYear "2016" @default.
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