Interference detection and estimation for spatial filtering: Application to radio interferometry

The increasing spectrum occupancy is a serious threat for highly sensitive astronomical measurement at radio frequencies. The deployment of array radio telescopes allows the exploitation of spatial information regarding sources of radio frequency interference (RFI) in order to filter them out of astronomical data and theoretical recover uncorrupted time and frequency data. This paper introduces the corrupted array radio telescope data model, and gives an overview of array signal processing techniques considered for performing spatial RFI detection and mitigation.