Efficient Calibration of Radio Interferometers Using Block LDU Decomposition

Conference Paper (2018)
Author(s)

A.M. Mouri Sardarabadi (Rijksuniversiteit Groningen)

AJ van der Veen (TU Delft - Signal Processing Systems)

L.V.E. Koopmans (Rijksuniversiteit Groningen)

Research Group
Signal Processing Systems
Copyright
© 2018 A. Mouri Sardarabadi, A.J. van der Veen, Leon V.E. Koopmans
DOI related publication
https://doi.org/10.23919/EUSIPCO.2018.8553058
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 A. Mouri Sardarabadi, A.J. van der Veen, Leon V.E. Koopmans
Research Group
Signal Processing Systems
Pages (from-to)
2688-2692
ISBN (print)
978-1-5386-3736-4
ISBN (electronic)
978-9-0827-9701-5
Reuse Rights

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Abstract

Having an accurate calibration method is crucial for any scientific research done by a radio telescope. The next generation radio telescopes such as the Square Kilometre Array (SKA) will have a large number of receivers which will produce exabytes of data per day. In this paper we propose new direction-dependent and independent calibration algorithms that, while requiring much less storage during calibration, converge very fast. The calibration problem can be formulated as a non-linear least square optimization problem. We show that combining a block-LDU decomposition with Gauss-Newton iterations produces systems of equations with convergent matrices. This allows significant reduction in complexity per iteration and very fast converging algorithms. We also discuss extensions to direction-dependent calibration. The proposed algorithms are evaluated using simulations.

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