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The Scientific World Journal
Volume 2016 (2016), Article ID 3137146, 7 pages
Research Article

Compressed Sensing/Sparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar

Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica, Università della Calabria, 87036 Rende, Italy

Received 26 June 2015; Accepted 28 December 2015

Academic Editor: Panos Pardalos

Copyright © 2016 Sandra Costanzo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.