TY  - RPRT
N2  - In this report, the estimation of the directions of arrival (DoAs) of narrow-band signals impinging on a linear antenna array is addressed within the Bayesian compressive sensing (BCS) framework. Unlike several state-of-the-art approaches, the voltages at the output of the receiving sensors are directly used to determine the DoAs of the signals thus avoiding the computation of the correlation matrix. Towards this end, the estimation problem is properly formulated to enforce the sparsity of the solution in the linear relationships between output voltages (i.e., the problem data) and the unknown DoAs. A careful calibration of the BCS parameters is reported in the report after the problem formulation.
M1  - technical_report
KW  - Compressive Sensing
KW  -  Direction-of-Arrival
KW  -  Array Synthesis
KW  -  Support Vector Machine
KW  -  Inverse Scattering.
PB  - University of Trento
TI  - Bayesian Compressive Sensing-based Method for Directions-of-Arrival Estimation
UR  - http://www.eledia.org/students-reports/701/
ID  - elediasc12701
Y1  - 2016///
AV  - public
A1  - Carlin, M.
A1  - Rocca, P.
A1  - Oliveri, G.
A1  - Massa, A.
ER  -