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Radar Array Diagnosis from Undersampled Data Using a Compressed SensingSparse Recovery Technique
Joint Authors
Borgia, Antonio
Di Massa, Giuseppe
Migliore, M. D.
Pinchera, D.
Costanzo, Sandra
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-22
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
A Compressed Sensing/Sparse Recovery approach is adopted in this paper for the accurate diagnosis of fault array elements from undersampled data.
Experimental validations on a slotted waveguide test array are discussed to demonstrate the effectiveness of the proposed procedure in the failures retrieval from a small set of measurements with respect to the number of radiating elements.
Due to the sparsity feature of the proposed formulation, the method is particularly appealing for the diagnostics of large arrays, typically adopted for radar applications.
American Psychological Association (APA)
Costanzo, Sandra& Borgia, Antonio& Di Massa, Giuseppe& Pinchera, D.& Migliore, M. D.. 2013. Radar Array Diagnosis from Undersampled Data Using a Compressed SensingSparse Recovery Technique. Journal of Electrical and Computer Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-486284
Modern Language Association (MLA)
Costanzo, Sandra…[et al.]. Radar Array Diagnosis from Undersampled Data Using a Compressed SensingSparse Recovery Technique. Journal of Electrical and Computer Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-486284
American Medical Association (AMA)
Costanzo, Sandra& Borgia, Antonio& Di Massa, Giuseppe& Pinchera, D.& Migliore, M. D.. Radar Array Diagnosis from Undersampled Data Using a Compressed SensingSparse Recovery Technique. Journal of Electrical and Computer Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-486284
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-486284