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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
Post-correlation radio frequency interference classification methods
Monthly Notices of the Royal Astronomical Society, Volume 405, No. 1, Year 2010
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Description
We describe and compare several post-correlation radio frequency interference (RFI) classification methods. As data sizes of observations grow with new and improved telescopes, the need for completely automated, robust methods for RFI mitigation is pressing. We investigated several classification methods and find that, for the data sets we used, the most accurate among them is the SumThreshold method. This is a new method formed from a combination of existing techniques, including a new way of thresholding. This iterative method estimates the astronomical signal by carrying out a surface fit in the time-frequency plane. With a theoretical accuracy of 95 per cent recognition and an approximately 0.1 per cent false probability rate in simple simulated cases, the method is in practice as good as the human eye in finding RFI. In addition, it is fast, robust, does not need a data model before it can be executed and works in almost all configurations with its default parameters. The method has been compared using simulated data with several other mitigation techniques, including one based upon the singular value decomposition of the time-frequency matrix, and has shown better results than the rest. © 2010 The Authors. Journal compilation © 2010 RAS.
Authors & Co-Authors
Offringa, André R.
Netherlands, Groningen
Rijksuniversiteit Groningen
de Bruyn, A. Ger
Netherlands, Dwingeloo
Netherlands Foundation for Research in Astronomy
Biehl, Michael
Netherlands, Groningen
Rijksuniversiteit Groningen
Zaroubi, Saleem
Netherlands, Groningen
Rijksuniversiteit Groningen
Bernardi, Gianni
Netherlands, Groningen
Rijksuniversiteit Groningen
Pandey, Vishhambhar N.
Netherlands, Groningen
Rijksuniversiteit Groningen
Statistics
Citations: 257
Authors: 6
Affiliations: 2
Identifiers
Doi:
10.1111/j.1365-2966.2010.16471.x
ISSN:
00358711
Research Areas
Health System And Policy