Performance of 2D Compressive Sensing on Wide-Beam Through-the-Wall Imaging
Joint Authors
Cristofani, Edison
Becquaert, Mathias
Vandewal, Marijke
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Compressive sensing has become an accepted and powerful alternative to conventional data sampling schemes.
Hardware simplicity, data, and measurement time reduction and simplified imagery are some of its most attractive strengths.
This work aims at exploring the possibilities of using sparse vector recovery theory for actual engineering and defense- and security-oriented applications.
Conventional through-the-wall imaging using a synthetic aperture configuration can also take advantage of compressive sensing by reducing data acquisition rates and omitting certain azimuth scanning positions.
An ultra-wideband stepped frequency system carrying wide beam antennas performs through-the-wall imaging of a real scene, including a hollow concrete block wall and a corner reflector behind it.
Random downsampling rates lower than those announced by Nyquist’s theorem both in the fast-time and azimuth domains are studied, as well as downsampling limitations for accurate imaging.
Separate dictionaries are considered and modeled depending on the objects to be reconstructed: walls or point targets.
Results show that an easy interpretation of through-the-wall scenes using the l1-norm and orthogonal matching pursuit algorithms is possible thanks to the simplification of the reconstructed scene, for which only as low as 25% of the conventional SAR data are needed.
American Psychological Association (APA)
Cristofani, Edison& Becquaert, Mathias& Vandewal, Marijke. 2013. Performance of 2D Compressive Sensing on Wide-Beam Through-the-Wall Imaging. Journal of Electrical and Computer Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-487091
Modern Language Association (MLA)
Cristofani, Edison…[et al.]. Performance of 2D Compressive Sensing on Wide-Beam Through-the-Wall Imaging. Journal of Electrical and Computer Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-487091
American Medical Association (AMA)
Cristofani, Edison& Becquaert, Mathias& Vandewal, Marijke. Performance of 2D Compressive Sensing on Wide-Beam Through-the-Wall Imaging. Journal of Electrical and Computer Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-487091
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487091