Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays
Joint Authors
Massa, Andrea
Rocca, Paolo
Carlin, Matteo
Oliveri, Giacomo
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Carlin, Matteo& Rocca, Paolo& Oliveri, Giacomo& Massa, Andrea. 2013. Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays. Journal of Electrical and Computer Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-456949
Modern Language Association (MLA)
Carlin, Matteo…[et al.]. Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays. Journal of Electrical and Computer Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-456949
American Medical Association (AMA)
Carlin, Matteo& Rocca, Paolo& Oliveri, Giacomo& Massa, Andrea. Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays. Journal of Electrical and Computer Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-456949
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456949