relation: http://www.eledia.org/students-reports/703/
title: DoA estimation via MT-BCS exploiting multiple-snapshots
creator: Carlin, M.
creator: Rocca, P.
creator: Oliveri, G.
creator: Massa, A.
subject: M CS Compressive Sensing
subject: M LBE Learning-by-Example Methods
description: 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.
publisher: University of Trento
date: 2016
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/703/1/DoA_Estimation_via_MT-BCS_Exploiting_Multiple_Snapshots.v2.pdf
identifier:   Carlin, M. and Rocca, P. and Oliveri, G. and Massa, A.  (2016) DoA estimation via MT-BCS exploiting multiple-snapshots.  Technical Report. University of Trento.