Abstract
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.
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 language | English |
|---|---|
| Title of host publication | BASP Frontiers Workshop 2017 |
| Number of pages | 1 |
| Publication status | Published - 30 Jan 2017 |
| Event | International Biomedical and Astronomical Signal Processing Frontiers Workshop 2017 - Villars-sur-Ollon, Switzerland Duration: 29 Jan 2017 → 3 Feb 2017 |
Conference
| Conference | International Biomedical and Astronomical Signal Processing Frontiers Workshop 2017 |
|---|---|
| Abbreviated title | BASP Frontiers 2017 |
| Country/Territory | Switzerland |
| City | Villars-sur-Ollon |
| Period | 29/01/17 → 3/02/17 |