@techreport{elediasc12703,
            type = {Technical Report},
           title = {DoA estimation via MT-BCS exploiting multiple-snapshots},
          author = {M. Carlin and P. Rocca and G. Oliveri and A. Massa},
            year = {2016},
       publisher = {University of Trento},
        keywords = {Compressive Sensing, Direction-of-Arrival, Support Vector Machine, Array Synthesis, Inverse Scattering.},
             url = {http://www.eledia.org/students-reports/703/},
        abstract = {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.}
}