%0 Report
%9 Technical Report
%A Carlin, M.
%A Rocca, P.
%A Oliveri, G.
%A Massa, A.
%D 2016
%F elediasc12:703
%K Compressive Sensing, Direction-of-Arrival, Support Vector Machine, Array Synthesis, Inverse Scattering.
%T DoA estimation via MT-BCS exploiting multiple-snapshots
%U http://www.eledia.org/students-reports/703/
%X In this report, an innovative strategy for the estimation of the directions of arrival of signals impinging on linear arrays of electromagnetic sensors has been assessed. Starting from a sparse representation of the problem solution, the DoA estimation problem has been addressed by means of a methodology based on the BCS paradigm. A customized implementation exploiting the measurements collected at multiple time instants (multiple-snapshots) providing robust and very accurate estimates when correlating the information from multiple snapshots has been validated.