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Journal of Electrical and Computer Engineering
Volume 2013, Article ID 245867, 12 pages
Research Article

Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays

ELEDIA Research Center @ DISI, University of Trento, Via Sommarive 5, 38123 Trento, Italy

Received 19 May 2013; Accepted 19 June 2013

Academic Editor: Sandra Costanzo

Copyright © 2013 Matteo Carlin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The Bayesian compressive sensing (BCS) is applied to estimate the directions of arrival (DoAs) of narrow-band electromagnetic signals impinging on planar antenna arrangements. Starting from the measurement of the voltages induced at the output of the array elements, the performance of the BCS-based approach is evaluated when data are acquired at a single time instant and at consecutive time instants, respectively. Different signal configurations, planar array geometries, and noise conditions are taken into account, as well.