Active RIS-Assisted Satellite RFI Mitigation with Location Awareness Graph Ordering Attention (LAGOAT) Network for Astronomy

This paper proposes a method for radio astronomy (RA) to mitigate radio frequency interference (RFI) using a reconfigurable intelligent surface (RIS). In order to maximize the signal-to-interference-plus-noise ratio (SINR) of the received signal, we will concurrently optimize the beamforming vector of the radio telescope array and the reflecting coefficient matrix of the active RIS. A location awareness graph ordering attention (LAGOAT) network is suggested to accomplish this due to the model's graph-like nature. Simulations indicate that the proposed LAGOAT can effectively minimize RFI and improve radio astronomical observations.