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20th European Signal Processing Conference (EUSIPCO 2012), Bucarest : Romania (2012)
RFI SUBSPACE ESTIMATION TECHNIQUES FOR NEW GENERATION RADIO TELESCOPES
Gregory Hellbourg 1, 2, 3, Tual Trainini 4, Rodolphe Weber ( ) 1, Eric Moreau 4, Cecile Capdessus 1, Albert-Jan Boonstra 3
(2012-08-20)

Radio astronomical data are increasingly corrupted by human telecommunication activities. Therefore, Radio Frequency Interferences (RFI) mitigation becomes an important step in the data processing flow, in particular for phased radio telescope array. In this framework, the preliminary step is to retrieve the RFI spatial information. This article presents three new techniques in radio astronomy allowing the estimation of the RFI spatial signature. These techniques are based on subspace decomposition of time-lagged correlation matrices or cyclic correlation matrices, and on a Blind Source Separation approach. Compared to classical methods, these approaches improve the quality of the spatial filtering obtained on the raw uncalibrated sky map.
1:  Laboratoire PRISME (PRISME)
Université d'Orléans : EA4229 – ENSI Bourges
2:  Unité Scientifique de la Station de Nançay (USN)
CNRS : USR704 – Observatoire de Paris
3:  Dutch Stichting ASTRonomisch Onderzoek in Nederland (ASTRON) (ASTRON)
Netherlands Organisation for Scientific Research (NWO)
4:  Laboratoire des Sciences de l'Information et des Systèmes (LSIS)
CNRS : UMR6168 – Arts et Métiers ParisTech – Université Paul Cézanne - Aix-Marseille III – Université de la Méditerranée - Aix-Marseille II – Université de Provence - Aix-Marseille I – Université Sud Toulon Var
IRAuS
Computer Science/Signal and Image Processing

Engineering Sciences/Signal and Image processing

Sciences of the Universe/Astrophysics/Instrumentation and Methods for Astrophysic

Physics/Astrophysics/Instrumentation and Methods for Astrophysic
Radio astronomy – RFI mitigation – Spatial signature vector estimation – Correlation matrix – Cyclostationarity – Alternating Least Squares