Bayesian compressive sensing as applied to directions-of-arrival estimation in planar arrays

Authors:
Matteo Carlin;Paolo Rocca;Giacomo Oliveri;Andrea Massa
Affiliations:
ELEDIA Research Center @ DISI, University of Trento, Trento, Italy;ELEDIA Research Center @ DISI, University of Trento, Trento, Italy;ELEDIA Research Center @ DISI, University of Trento, Trento, Italy;ELEDIA Research Center @ DISI, University of Trento, Trento, Italy
Venue:
Journal of Electrical and Computer Engineering - Special issue on Advances in Radar Technologies
Year:
2013

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Abstract

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.