%K Compressive Sensing, Direction-of-Arrival, Support Vector Machine, Array Synthesis, Inverse Scattering.
%A M. Carlin
%A P. Rocca
%A G. Oliveri
%A A. Massa
%I University of Trento
%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.
%D 2016
%L elediasc12703
%T DoA estimation via MT-BCS exploiting multiple-snapshots