relation: http://www.eledia.org/students-reports/702/
title: Numerical Analysis of the DoA estimation through BCS
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: This report deals with the Direction of arrival (DoA) estimation problem formulated within the Bayesian Compressive Sensing (BCS) framework. The performances of a novel method that directly works on the voltages measured at the output of the array elements without requiring the computation of the covariance matrix and that provide accurate and reliable DoAs estimation also without the a-priori knowledge on the number of incident signals have been investigated. The effectiveness of the proposed approach is assessed through an extensive numerical analysis addressing different scenarios, signal configurations, and noise conditions.
publisher: University of Trento
date: 2016
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/702/1/Numerical_Analysis_of_the_DoA_Estimation_Through_BCS.v2.pdf
identifier:   Carlin, M. and Rocca, P. and Oliveri, G. and Massa, A.  (2016) Numerical Analysis of the DoA estimation through BCS.  Technical Report. University of Trento.