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

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Résumé

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.

langue originaleAnglais
titreEuropean Microwave Week 2013, EuMW 2013 - Conference Proceedings; EuRAD 2013
Sous-titre10th European Radar Conference
Pages9-12
Nombre de pages4
étatPublié - 2013
Evénement2013 10th European Radar Conference, EuRAD 2013 - Held as Part of 16th European Microwave Week, EuMW 2013 - Nuremberg, Allemagne
Durée: 6 oct. 201311 oct. 2013

Série de publications

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

Une conférence

Une conférence2013 10th European Radar Conference, EuRAD 2013 - Held as Part of 16th European Microwave Week, EuMW 2013
Pays/TerritoireAllemagne
La villeNuremberg
période6/10/1311/10/13

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