TY  - RPRT
M1  - technical_report
N2  - 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.
TI  - Numerical Analysis of the DoA estimation through BCS
UR  - http://www.eledia.org/students-reports/702/
Y1  - 2016///
AV  - public
PB  - University of Trento
KW  - Compressive Sensing
KW  -  Direction-of-Arrival
KW  -  Support Vector Machine
KW  -  Array Synthesis
KW  -  Inverse Scattering.
ID  - elediasc12702
A1  - Carlin, M.
A1  - Rocca, P.
A1  - Oliveri, G.
A1  - Massa, A.
ER  -