Quantifying 5G RFI on Spaceborne Microwave Radiometers

Authors

Angie Crews and Scott Palo

Abstract

Passive microwave radiometer observations are crucial to reducing weather forecasting errors, but the recent ITU reallocation of frequency bands for 5G applications has caused the potential for 5G interference with passive microwave radiometer measurements. For this study, we analyze on-orbit Advanced Technology Microwave Sounder (ATMS) data over areas with deployed 5G cellular networks and areas with limited networks. We compare the ATMS data with truth data generated from the Community Radiative Transfer Model (CRTM) to quantitatively assess if RFI can be detected in the ATMS channels that are sensitive to 5G interference. We present our experimental setup and initial results.