Joint imaging and DDEs calibration for radio interferometry

Audrey Repetti, Jasleen Birdi, Yves Wiaux

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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In the context of radio interferometry, the objective is
to find an estimate of an unknown image of the sky from degraded
observations, acquired through an antenna array. In the theoretical
case of a perfectly calibrated array, it has been shown that solving the
corresponding imaging problem by iterative algorithms based on convex
optimization and Compressive Sensing (CS) theory can be competitive
with classical algorithms such as CLEAN. However, in practice, antennabased
gains are unknown and have to be modelled during the calibration
process. The latter aims to estimate the DIEs and DDEs related to each
antenna of the interferometer. In this work, we propose an alternated
minimization algorithm to estimate jointly the DIEs/DDEs and the image
while promoting its sparsity in a dictionary, leveraging the CS theory.
Original languageEnglish
Title of host publicationBASP Frontiers Workshop 2017
Number of pages1
Publication statusPublished - 30 Jan 2017
EventInternational Biomedical and Astronomical Signal Processing Frontiers Workshop 2017 - Villars-sur-Ollon, Switzerland
Duration: 29 Jan 20173 Feb 2017


ConferenceInternational Biomedical and Astronomical Signal Processing Frontiers Workshop 2017
Abbreviated titleBASP Frontiers 2017


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