Results from the Ground RFI Detection System for Passive Microwave Earth Observation Data

• Published in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS pp. 1827 - 1830
• Main Authors: Oliva, Roger, Onrubia, Raul, Martellucci, Antonio, Daganzo-Eusebio, Elena, Jorge, Flavio, Soldo, Yan, English, Stephen, De Rosnay, Patricia, Weston, Peter, Barbosa, Jose, Nestoras, Ioannis
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11-07-2021
• Subjects: Earth; Earth exploration-satellite service; Earth observation; Geoscience and remote sensing; Libraries; Microwave measurement; Microwave radiometry; Microwave theory and techniques; Radio Frequency Interference; Weather forecasting
• ISSN: 2153-7003
• DOI: 10.1109/IGARSS47720.2021.9553636

Radio Frequency Interference (RFI) is a growing threat to all Earth Observation (EO) passive microwave missions. Many RFI detection algorithms are used on-board and in the ground segment data processing, but there is no single algorithm that can detect all RFI instances. The best strategy is always to combine several detection methods. This paper presents the results of the new Ground RFI Detection System (GRDS). The GRDS uses a combination of a wide variety of RFI detection algorithms to clean the Earth Observation measurements from RFI. The system is built to be able to scan for RFI for any EO mission. The initial results show the important reduction on RFI in the EO data as measured by the European Center for Mid-Range Weather Forecast (ECMWF) first guess departure statistics.