A Discretization-Free Sparse and Parametric Approach for Linear Array Signal Processing

DOI10.1109/TSP.2014.2339792zbMath1394.94665arXiv1312.7695OpenAlexW2118693125MaRDI QIDQ4579464

Zai Yang, Zhang, Cishen, Xie, Lihua

Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.7695

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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Sparse continuous-field and super-resolution method for direction-of-arrival estimation ⋮ On gridless sparse methods for multi-snapshot direction of arrival estimation ⋮ Manifold separation-based DOA estimation for nonlinear arrays via compressed super-resolution of positive sources ⋮ Gridless DOA estimation for minimum-redundancy linear array in nonuniform noise ⋮ A super-resolution direction of arrival estimation algorithm for coprime array via sparse Bayesian learning inference ⋮ Separation-free spectral super-resolution via convex optimization

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