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High-compression Baseline Dependent Averaging

Abstract:

Baseline dependent averaging (BDA) can be used to reduce the volume of visibility data significantly. Most current BDA schemes perform (weighted) averaging over a certain time interval. This quickly causes decorrelation due to time averaging. We propose to reduce this decorrelation by representing the visibilities by polynomial coefficients. The high compression made feasible by this approach may cause fast-changing calibration parameters to become undersampled. We propose the Compress-Expand...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.23919/URSIGASS.2017.8105383

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
Science and Technologies Facilities Council More from this funder
Dutch Ministry of Economic Affairs More from this funder
Province of Drenthe More from this funder
Publisher:
International Union of Radio Science Publisher's website
Journal:
32nd International Union of Radio Science General Assembly and Scientific Symposium
Host title:
32nd International Union of Radio Science General Assembly and Scientific Symposium, August 19-26th, 2017, Montreal, Canada
Publication date:
2017-08-19
Acceptance date:
2017-03-20
Event location:
Palais des congrès de Montréal (Montréal's Convention Centre), Québec, Canada.
DOI:
Source identifiers:
737396
Pubs id:
pubs:737396
UUID:
uuid:d32e5093-edd8-48df-a93e-54501976e574
Local pid:
pubs:737396
Deposit date:
2017-10-20

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