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Progress In Electromagnetics Research C
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CLEAN DECONVOLUTION APPLIED TO PASSIVE COMPRESSED BEAMFORMING

By T. Fromenteze, E. Kpre, D. Carsenat, and C. Decroze

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Abstract:
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 L1-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.

Citation:
T. Fromenteze, E. Kpre, D. Carsenat, and C. Decroze, "Clean Deconvolution Applied to Passive Compressed Beamforming," Progress In Electromagnetics Research C, Vol. 56, 163-172, 2015.
doi:10.2528/PIERC15011804

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