"Marginal Likelihood Maximization Based Fast Array Manifold Matrix Lear" by Yiwen Mao, Qinghua Guo et al.
By exploiting the sparsity of signal sources in the spatial domain, compressive sensing (CS) based direction of arrival (DOA) estimation has emerged as a promising approach especially in the case of a limited number of snapshots. However, due to the use of a large overcomplete dictionary obtained from a predefined grid, CS-based DOA estimation methods normally suffer from high computational complexity and the grid mismatch problem. Many methods, in particular sparse Bayesian learning (SBL) based...
Source: uow.edu.au