On the applicability of compressive sensing on FMCW synthetic aperture radar data for sparse scene recovery

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Abstract

Compressive Sensing (CS) has proven its effectiveness for many applications by reducing the sampling rate and decrementing the acquistion time. This study evaluates if, how and under which conditions, CS can be applied on Frequency Modulated ContinuousWave (FMCW) Synthetic Aperture Radar (SAR) data for scenes containing only a limited number of scatterers. Two different approaches for the reconstruction are proposed and are evaluated on real data: (1) the CS reconstruction of the subsampled FMCW signal itself and (2) the CS reconstruction of the scattering coefficients of the scene. The limits of performance of CS are shown through simulated SAR data. The influence of the sparsity and the choice of a sampling scheme are evaluated in function of the number of samples needed for the exact reconstruction of the scene.

Original languageEnglish
Title of host publicationEuropean Microwave Week 2013, EuMW 2013 - Conference Proceedings; EuRAD 2013
Subtitle of host publication10th European Radar Conference
Pages9-12
Number of pages4
Publication statusPublished - 2013
Event2013 10th European Radar Conference, EuRAD 2013 - Held as Part of 16th European Microwave Week, EuMW 2013 - Nuremberg, Germany
Duration: 6 Oct 201311 Oct 2013

Publication series

NameEuropean Microwave Week 2013, EuMW 2013 - Conference Proceedings; EuRAD 2013: 10th European Radar Conference

Conference

Conference2013 10th European Radar Conference, EuRAD 2013 - Held as Part of 16th European Microwave Week, EuMW 2013
Country/TerritoryGermany
CityNuremberg
Period6/10/1311/10/13

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