Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays
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...
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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/245867 |
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author | Matteo Carlin Paolo Rocca Giacomo Oliveri Andrea Massa |
author_facet | Matteo Carlin Paolo Rocca Giacomo Oliveri Andrea Massa |
author_sort | Matteo Carlin |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-85a2ea3ac2ce4972bba8113009ef8f15 |
institution | Kabale University |
issn | 2090-0147 2090-0155 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Electrical and Computer Engineering |
spelling | doaj-art-85a2ea3ac2ce4972bba8113009ef8f152025-02-03T01:01:41ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552013-01-01201310.1155/2013/245867245867Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar ArraysMatteo Carlin0Paolo Rocca1Giacomo Oliveri2Andrea Massa3ELEDIA Research Center @ DISI, University of Trento, Via Sommarive 5, 38123 Trento, ItalyELEDIA Research Center @ DISI, University of Trento, Via Sommarive 5, 38123 Trento, ItalyELEDIA Research Center @ DISI, University of Trento, Via Sommarive 5, 38123 Trento, ItalyELEDIA Research Center @ DISI, University of Trento, Via Sommarive 5, 38123 Trento, ItalyThe 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.http://dx.doi.org/10.1155/2013/245867 |
spellingShingle | Matteo Carlin Paolo Rocca Giacomo Oliveri Andrea Massa Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays Journal of Electrical and Computer Engineering |
title | Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays |
title_full | Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays |
title_fullStr | Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays |
title_full_unstemmed | Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays |
title_short | Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays |
title_sort | bayesian compressive sensing as applied to directions of arrival estimation in planar arrays |
url | http://dx.doi.org/10.1155/2013/245867 |
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