Compressed SensingSparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A compressed sensing/sparse-recovery procedure is adopted to obtain enhanced range resolution capability from the processing of data acquired with narrow-band SFCW radars.
A mathematical formulation for the proposed approach is reported and validity limitations are fully discussed, by demonstrating the ability to identify a great number of targets, up to 20, in the range direction.
Both numerical and experimental validations are presented, by assuming also noise conditions.
The proposed method can be usefully applied for the accurate detection of parameters with very small variations, such as those involved in the monitoring of soil deformations or biological objects.
American Psychological Association (APA)
Costanzo, Sandra. 2016. Compressed SensingSparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar. The Scientific World Journal،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1120383
Modern Language Association (MLA)
Costanzo, Sandra. Compressed SensingSparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar. The Scientific World Journal No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1120383
American Medical Association (AMA)
Costanzo, Sandra. Compressed SensingSparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar. The Scientific World Journal. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1120383
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120383