Low- and Moderate-Level RFI Detection Using Point-Source Ripple for Synthetic Aperture Interferometric Radiometer

Finding out and turning off the radio-frequency interference (RFI) sources as many as possible is an important work for synthetic aperture interferometric radiometer (SAIR). While the impact of strong RFIs on reconstructed brightness temperature (BT) image is clearly observable, the presence of low-...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-11
Main Authors: Jin, Rong, Lu, Hailiang, Chen, Liangbing, Gao, Yixin, Li, Qingxia
Format: Article
Language:English
Subjects:
Antenna measurements
Brightness temperature
Detection
Directive antennas
Image reconstruction
Imagery
Interferometry
Localization
Location awareness
Mathematical models
Microwave radiometry
Moisture effects
Numerical simulation
Performance evaluation
point-source ripple
Radio frequency interference
radio-frequency interference (RFI)
Radiometers
Soil moisture
Surface radiation temperature
synthetic aperture interferometric radiometer (SAIR)
Synthetic apertures
Visibility
Water pollution
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Summary:Finding out and turning off the radio-frequency interference (RFI) sources as many as possible is an important work for synthetic aperture interferometric radiometer (SAIR). While the impact of strong RFIs on reconstructed brightness temperature (BT) image is clearly observable, the presence of low- or moderate-level RFIs is often hard to be aware of, leaving the RFI detection and localization a difficult problem. In this article, an improved RFI detection method is proposed by making use of the point-source ripple to give prominence to the RFIs presented in the SAIR imagery. The method tests based on Soil Moisture and Ocean Salinity satellite (SMOS) visibility samples and the performance evaluations by numerical simulations validate the correctness and effectiveness of the developed method.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2022.3152569