A Cross-Correlation based Spectral Kurtosis RFI Detector

Gelu M. Nita, Gregory Hellbourg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Accurate flagging of Radio Frequency Interference (RFI) is necessary to recover instrumental efficiency and avoid false astronomical detections. Spectral Kurtosis (SK) is a popular operator in RFI flagging for radio astronomy due to its detection sensitivity to non-Gaussian emissions and its competitive computational cost. Most SK detection pipelines are applied to single antennas or autocorrelations products. This paper investigates the application of the SK to antennas cross-correlations, and demonstrates an improved detection performance compared to the auto-correlation-based approaches.

Original languageEnglish (US)
Title of host publication2020 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789463968003
DOIs
StatePublished - Aug 2020
Event33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020 - Rome, Italy
Duration: Aug 29 2020Sep 5 2020

Publication series

Name2020 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020

Conference

Conference33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020
CountryItaly
CityRome
Period8/29/209/5/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Atmospheric Science
  • Instrumentation

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