International audienceRadio 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 ...
A method of radio frequency interference (RFI) suppression in radio astronomy spectral observations ...
Radio-astronomical observations are increasingly contaminated by interference, and suppression techn...
© 2016 IEEE. We present the application of statistical classifiers to the problem of automatic ident...
International audienceRadio astronomical data are increasingly corrupted by human telecommunication ...
International audienceRadio astronomical data are increasingly corrupted by human telecommunication ...
International audienceBecause of the denser active use of the spectrum, and because of higher radio ...
International audienceRadio astronomical observations are increasingly corrupted by radio frequency ...
We investigate spatial filtering techniques for interference removal in multichannel radio astronomi...
International audiencePhased array radio telescopes allow for the filtering of Radio Frequency Inter...
© 2016 IEEE. In preparation for the SKA, many new RFI (radio frequency interference) mitigation algo...
National audienceRadio astronomy is a passive service and is equipped to observe extremely weak sign...
Radio astronomy studies cosmic sources through their radio emissions. As passive users, astronomers ...
La radio astronomie étudie les sources cosmiques au travers de leur rayonnement dans le domaine radi...
The search for the answer to one of the most fundamental scientific questions, “How was the universe...
The next generation of radio telescopes is expected to be one to two orders of magnitude more sensit...
A method of radio frequency interference (RFI) suppression in radio astronomy spectral observations ...
Radio-astronomical observations are increasingly contaminated by interference, and suppression techn...
© 2016 IEEE. We present the application of statistical classifiers to the problem of automatic ident...
International audienceRadio astronomical data are increasingly corrupted by human telecommunication ...
International audienceRadio astronomical data are increasingly corrupted by human telecommunication ...
International audienceBecause of the denser active use of the spectrum, and because of higher radio ...
International audienceRadio astronomical observations are increasingly corrupted by radio frequency ...
We investigate spatial filtering techniques for interference removal in multichannel radio astronomi...
International audiencePhased array radio telescopes allow for the filtering of Radio Frequency Inter...
© 2016 IEEE. In preparation for the SKA, many new RFI (radio frequency interference) mitigation algo...
National audienceRadio astronomy is a passive service and is equipped to observe extremely weak sign...
Radio astronomy studies cosmic sources through their radio emissions. As passive users, astronomers ...
La radio astronomie étudie les sources cosmiques au travers de leur rayonnement dans le domaine radi...
The search for the answer to one of the most fundamental scientific questions, “How was the universe...
The next generation of radio telescopes is expected to be one to two orders of magnitude more sensit...
A method of radio frequency interference (RFI) suppression in radio astronomy spectral observations ...
Radio-astronomical observations are increasingly contaminated by interference, and suppression techn...
© 2016 IEEE. We present the application of statistical classifiers to the problem of automatic ident...