On the detection of RFI through the correlation anomaly at different time lags
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Microwave radiometers can be considerably affected by Radio Frequency Interference (RFI). These man-made interference conceal the underlying natural signal, preventing the retrieval of geophysical variables. Adopting on-board detection and mitigation techniques is a requirement to reduce the impact of RFI. Several families of RFI detection algorithms have been developed over the last years (e.g. –). In this work, a new detection technique is proposed and its performance analyzed. It is based in the distortion of the shape of the cross-correlation function at lags different from zero under the presence of RFI. Its performance is compared to other common RFI mitigation algorithms. Proposed methods' performance is found to surpass other common algorithms such as signal Kurtosis, while presenting some convenient properties for its practical application in correlation and synthetic aperture radiometers.
CitationDiez, R.; Camps, A. On the detection of RFI through the correlation anomaly at different time lags. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium: 12-16 July, 2021, virtual symposium, Brussels, Belgium: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 1823-1826. ISBN 978-1-6654-0369-6. DOI 10.1109/IGARSS47720.2021.9554188.