Imaging in radio interferometry by iterative subset scanning using a modified AMP algorithm

Giovanni Cherubini, Paul Hurley, Matthieu Simeoni, Sanaz Kazemi

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

1 Citation (Scopus)

Abstract

![CDATA[Imaging techniques in radio interferometry often face a significant challenge posed by the large number of antenna signals received, from which the image information needs to be extracted. Beamforming is envisaged to reduce the rate required for transporting data from groups of antennas to a central site for further processing. We propose a novel method for image reconstruction based on the iterative scanning of a region of interest, combined with randomized beamforming. A modified approximate message-passing algorithm is adopted to extract relevant image information from beamformed signals received at the antenna stations. The method is illustrated by simulations, with reference to the LOFAR radio interferometer, and compared with the CLEAN algorithm.]]
Original languageEnglish
Title of host publicationProceedings 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 20-25, 2016, Shanghai, China
PublisherIEEE
Pages3326-3330
Number of pages5
ISBN (Print)9781479999880
DOIs
Publication statusPublished - 2016
EventICASSP (Conference) -
Duration: 15 Apr 2018 → …

Conference

ConferenceICASSP (Conference)
Period15/04/18 → …

Keywords

  • antenna arrays
  • beamforming
  • radio astronomy
  • radio telescopes

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