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Article Dans Une Revue Progress In Electromagnetics Research Année : 2015

CLEAN Deconvolution Applied to Passive Compressed Beamforming

Thomas Fromenteze
Ettien Lazare Kpré
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David Carsenat
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Cyril Decroze

Résumé

In this article, a matching pursuit algorithm is developed to improve the performance of a passive multiplexing technique based on compressed sensing. This deconvolution technique is applied to RADAR imaging in the microwave range, starting from previous studies based on a compact coding device and L 1-norm regularizations. This study demonstrates that in this context, the quality of the reconstructed RADAR images can be improved using an algorithm close to Hogbom's Clean, and based on a dictionary built with Tikhonov pseudo-inversions. The theoretical principle of this new algorithm is developed, followed by a parameters study. Finally, an experimental validation is presented to demonstrate the efficiency of this iterative algorithm.
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Dates et versions

hal-01138886 , version 1 (07-04-2015)

Identifiants

  • HAL Id : hal-01138886 , version 1

Citer

Thomas Fromenteze, Ettien Lazare Kpré, David Carsenat, Cyril Decroze. CLEAN Deconvolution Applied to Passive Compressed Beamforming. Progress In Electromagnetics Research, 2015, pp.10. ⟨hal-01138886⟩

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