Publication

Point and beam-sparse radio astronomical source recovery using non-negative least squares

Naghibzadeh, S., Mouri Sardarabadi, A. & Van Der Veen, A. J., 15-Sep-2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016. IEEE computer society, Vol. 2016-September. 7569681

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  • Point and Beam-Sparse Radio Astronomical Source Recovery Using Non-Negative Least Squares

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DOI

A simple and novel algorithm for source recovery based on array data measurements in radio astronomy is proposed. Considering that a radioastronomical image is composed of both point sources and extended emissions, prior information on the images, namely non-negativity and substantial black background are taken into account to choose source representation basis functions. Dirac delta functions are chosen to represent point sources and a Gaussian function approximated from the main beam of the antenna array is selected to capture the extended emissions. We apply the non-negative least squares (NNLS) algorithm to estimate the basis coefficients. It is shown that the sparsity promoted by the NNLS algorithm based on the chosen basis functions results in a super-resolution (finer resolution than prescribed by the main beam of the antenna array pattern) estimate for the point sources and smooth recovery for the extended emissions.

Original languageEnglish
Title of host publication2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
PublisherIEEE computer society
Volume2016-September
ISBN (Electronic)9781509021031
Publication statusPublished - 15-Sep-2016
Event2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016 - Rio de Rio de Janeiro, Brazil
Duration: 10-Jul-201613-Jul-2016

Conference

Conference2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
CountryBrazil
CityRio de Rio de Janeiro
Period10/07/201613/07/2016

Event

2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016

10/07/201613/07/2016

Rio de Rio de Janeiro, Brazil

Event: Conference

    Keywords

  • Array signal processing, image formation, interferometry, non-negative least squares, radio astronomy, regularization

ID: 66216865