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A Novel Strategy for Radar Imaging Based on Compressive Sensing

Tello Alonso, Marivi and López-Dekker, Paco and Mallorquí, Jordi J. (2010) A Novel Strategy for Radar Imaging Based on Compressive Sensing. IEEE Transactions on Geoscience and Remote Sensing, 48 (12), pp. 4285-4295. IEEE. DOI: 10.1109/TGRS.2010.2051231. ISSN 0196-2892.

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Abstract

Radar data have already proven to be compressible with no significant losses for most of the applications in which it is used. In the framework of information theory, the compressibility of a signal implies that it can be decomposed onto a reduced set of basic elements. Since the same quantity of information is carried by the original signal and its decomposition, it can be deduced that a certain degree of redundancy exists in the explicit representation. According to the theory of compressive sensing (CS), due to this redundancy, it is possible to infer an accurate representation of an unknown compressible signal through a highly incomplete set of measurements. Based on this assumption, this paper proposes a novel method for the focusing of raw data in the framework of radar imaging. The technique presented is introduced as an alternative option to the traditional matched filtering, and it suggests that the new modes of acquisition of data are more efficient in orbital configurations. In this paper, this method is first tested on 1-D simulated signals, and results are discussed. An experiment with synthetic aperture radar (SAR) raw data is also described. Its purpose is to show the potential of CS applied to SAR systems. In particular, we show that an image can be reconstructed, without the loss of resolution, after dropping a large percentage of the received pulses, which would allow the implementation of wide-swath modes without reducing the azimuth resolution.

Document Type:Article
Additional Information:�©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Title:A Novel Strategy for Radar Imaging Based on Compressive Sensing
Authors:
AuthorsInstitution or Email of Authors
Tello Alonso, MariviUniversitat Politecnica de Catalunya
López-Dekker, PacoUNSPECIFIED
Mallorquí, Jordi J.Universitat Politecnica de Catalunya
Date:1 December 2010
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:48
DOI:10.1109/TGRS.2010.2051231
Page Range:pp. 4285-4295
Publisher:IEEE
ISSN:0196-2892
Status:Published
Keywords:linear programming , matched filters , radar imaging , synthetic aperture radar
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben SAR-Expert-Support-Lab (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Paco Lopez Dekker
Deposited On:31 Jan 2011 10:57
Last Modified:21 Mar 2014 10:30

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