@inproceedings{b244b0fdb0914c739b8f2997d5732a88,
title = "A Cross-Correlation based Spectral Kurtosis RFI Detector",
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.",
author = "Nita, {Gelu M.} and Gregory Hellbourg",
note = "Publisher Copyright: {\textcopyright} 2020 URSI.; 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020 ; Conference date: 29-08-2020 Through 05-09-2020",
year = "2020",
month = aug,
doi = "10.23919/URSIGASS49373.2020.9232200",
language = "English (US)",
series = "2020 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020",
address = "United States",
}