Searched for: subject%3A%22Array%22
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Coutino, Mario (author), Pribic, R (author), Leus, G.J.T. (author)
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 ℓ1-norm minimization problem, ambiguities in the...
conference paper 2016
document
Pribic, R (author), Coutino, Mario (author), Leus, G.J.T. (author)
Resolution from co-prime arrays and from a full ULA of the size equal to the virtual size of co-prime arrays is investigated. We take into account not only the resulting beam width but also the fact that fewer measurements are acquired by co-prime arrays. This fact is relevant in compressive acquisition typical for compressive sensing. Our...
conference paper 2016
document
Coutino, Mario (author), Pribic, R (author), Leus, G.J.T. (author)
In this paper, a new direction of arrival (DOA) estimation approach is devised using concepts from information geometry (IG). The proposed method uses geodesic distances in the statistical manifold of probability distributions parametrized by their covariance matrix to estimate the direction of arrival of several sources. In order to obtain a...
conference paper 2016