Work

Clean Deconvolution Applied to Passive Compressed Beamforming

Year: 2015

Type: article

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. 1.

Source: Progress In Electromagnetics Research C

DOI: 10.2528/pierc15011804

Authors: Thomas Fromenteze, Ettien Kpre, David Carsenat, Cyril Decroze

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2003997846

FWCI: 1.512

Cites: 8

Cited by: 9

Related to: 10