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arXiv · 2007.13035

Cyclic Imaging for All-Sky Interference Forecasting with Array Radio Telescopes

Gregory Hellbourg·Ian Morrison
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Abstract

Radio Frequency Interference (RFI) is threatening modern radio astronomy. A classic approach to mitigate its impact on astronomical data involves discarding the corrupted time and frequency data samples through a process called flagging and blanking. We propose the exploitation of the cyclostationary properties of the RFI signals to reliably detect and predict their locations within an array radio telescope field-of-view, and dynamically schedule the astronomical observations such as to minimize the probability of RFI data corruption.

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Gregory Hellbourg, Ian Morrison. 2020-07-26. Cyclic Imaging for All-Sky Interference Forecasting with Array Radio Telescopes. https://doi.org/10.23919/rfi48793.2019.9111786

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