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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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Published in: | IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-11 |
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description | 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. |
doi_str_mv | 10.1109/TGRS.2022.3152569 |
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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 |
title | Low- and Moderate-Level RFI Detection Using Point-Source Ripple for Synthetic Aperture Interferometric Radiometer |
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