Title :
Compressed sensing imaging with the KAT-7 array
Author :
Schwardt, Ludwig C.
Author_Institution :
SKA South Africa, Pinelands, South Africa
Abstract :
Compressed sensing (CS) provides the theory behind the CLEAN deconvolution step found in aperture synthesis imaging in radio astronomy and suggests many new algorithms for it. A few CS algorithms, including greedy methods such as Orthogonal Matching Pursuit (OMP) and convex relaxation methods based on Basis Pursuit (BP), are evaluated on a small dataset produced by the KAT-7 array. The new algorithms outperform a standard CLEAN algorithm on this snapshot imaging task.
Keywords :
astronomical image processing; compressed sensing; convex programming; deconvolution; greedy algorithms; image reconstruction; radioastronomy; CS algorithms; KAT-7 array; OMP; aperture synthesis imaging; clean deconvolution step; compressed sensing imaging algorithm; convex relaxation methods; greedy methods; orthogonal matching pursuit; radioastronomy; Arrays; Compressed sensing; Deconvolution; Extraterrestrial measurements; Imaging; Matching pursuit algorithms; Standards;
Conference_Titel :
Electromagnetics in Advanced Applications (ICEAA), 2012 International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4673-0333-0
DOI :
10.1109/ICEAA.2012.6328716
