  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.
