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
Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays / Carlin, Matteo; Rocca, Paolo; Oliveri, Giacomo; Massa, Andrea. - In: JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING. - ISSN 2090-0147. - STAMPA. - 2013:(2013), pp. 1-12. [10.1155/2013/245867]
Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays
Carlin, Matteo;Rocca, Paolo;Oliveri, Giacomo;Massa, Andrea
2013-01-01
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| File | Dimensione | Formato | |
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Bayesian compressive sensing as applied to directions-of-arrival estimation in planar arrays.pdf
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