A canonical interferencelet-based approach to RFI identification

Daniel Czech, Amit Kumar Mishra, Michael Inggs

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

Radio frequency interference (RFI) is a significant concern for radio astronomy, even in radio-quiet reserves. Whereas frequency-based algorithms are well suited for detecting and classifying intentional RFI (like communication links), the identification of unintentional RFI events (like those from devices such as relays or electric motors) is far more difficult. In this work we describe a novel way of dealing with time-domain unintentional RFI events. We show that irrespective of their sources, the time-domain RFI signals seem to consist of sub-impulses. These sub-impulses are akin to a canonical set of signals which we have named Canonical Interferencelets. We establish this hypothesis through a range of experiments. This method of analysing RFI signals is deemed very useful in the detection and identification of RFI events.

Original languageEnglish
Title of host publicationProceedings of 2016 Radio Frequency Interference
Subtitle of host publicationCoexisting with Radio Frequency Interference, RFI 2016
PublisherIEEE Press
Pages16-20
Number of pages5
ISBN (Electronic)9781509062010
DOIs
Publication statusPublished - 17 Oct 2016
Externally publishedYes
Event2016 Radio Frequency Interference, RFI 2016 - Socorro, United States of America
Duration: 17 Oct 201620 Oct 2016

Publication series

NameProceedings of 2016 Radio Frequency Interference: Coexisting with Radio Frequency Interference, RFI 2016

Conference

Conference2016 Radio Frequency Interference, RFI 2016
Country/TerritoryUnited States of America
CitySocorro
Period17 Oct 201620 Oct 2016

Keywords

  • Transient Classification
  • Transient Radio Frequency Interference

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