Title :

Robust distributed calibration of radio interferometers with direction dependent distortions

Author(s) :

Ollier, Virginie [Auteur]
Laboratoire des signaux et systèmes [L2S]
Systèmes et Applications des Technologies de l'Information et de l'Energie [SATIE]
Korso, El [Auteur]
Laboratoire Energétique Mécanique Electromagnétisme [LEME]
Ferrari, André [Auteur]
Joseph Louis LAGRANGE [LAGRANGE]
Boyer, Remy [Auteur]
Laboratoire des signaux et systèmes [L2S]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Larzabal, Pascal [Auteur]
Systèmes et Applications des Technologies de l'Information et de l'Energie [SATIE]

Journal title :

Signal Processing

Pages :

348-354

Publisher :

Elsevier

Publication date :

2018-12

ISSN :

0165-1684

English keyword(s) :

Calibration
robustness
multi-frequency
radio astronomy

HAL domain(s) :

Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Planète et Univers [physics]/Astrophysique [astro-ph]

English abstract : [en]

In radio astronomy, accurate calibration is of crucial importance for the new generation of radio inter-ferometers. More specifically, because of the potential presence of outliers which affect the measured data, robustness ...
Show more >In radio astronomy, accurate calibration is of crucial importance for the new generation of radio inter-ferometers. More specifically, because of the potential presence of outliers which affect the measured data, robustness needs to be ensured. On the other hand, calibration is improved by taking advantage of these new instruments and exploiting the known structure of parameters of interest across frequency. Therefore, we propose in this paper an iterative robust multi-frequency calibration algorithm based on a distributed and consensus optimization scheme which aims to estimate the complex gains of the receivers and the directional perturbations caused by the ionosphere. Numerical simulations reveal that the proposed distributed calibration technique outperforms the conventional non-robust algorithm and per-channel calibration.Show less >

Language :

Anglais

Popular science :

Non

ANR Project :

Méthodes d'apprentissage pour les très grands réseaux d'antennes en radioastronomie
Nouvelles Techniques Robustes et d'Inférences pour le Radar Adaptatif Moderne

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL