Compressed Sensing experiments in a noise SAR

The paper presents a practical application of Compressed Sensing paradigm to a noise synthetic aperture radar. Nonuniform sampling in spatial dimension followed by Compressed Sensing reconstruction of SAR image allows to lower the number of spatial (along-track) domain samples taken in a SAR radar....

Full description

Saved in:
Bibliographic Details
Published in2012 13th International Radar Symposium pp. 483 - 487
Main Authors Misiurewicz, J., Maslikowski, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Compressed sensing
Image reconstruction
Matching pursuit algorithms
Noise
Radar imaging
Synthetic aperture radar
Online AccessGet full text

Cover

More Information
Summary:The paper presents a practical application of Compressed Sensing paradigm to a noise synthetic aperture radar. Nonuniform sampling in spatial dimension followed by Compressed Sensing reconstruction of SAR image allows to lower the number of spatial (along-track) domain samples taken in a SAR radar. When the spatial sampling frequency is limited by external constraints, the image taken with classical approach would suffer from spatial aliasing. For sparse targets, Compressed Sensing approach leads to correct image reconstruction. The described technique is applied to the data from an experimental ground-based noise SAR built in Warsaw University of Technology.
ISBN:1457718383
9781457718380
ISSN:2155-5745
2155-5753
DOI:10.1109/IRS.2012.6233393