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Artifact-Free RFI Localization Based on Spatial Smoothing Music in Synthetic Aperture Interferometric Radiometers

Radio-frequency interference (RFI) contaminations hamper the retrieval of geophysical parameters from brightness temperature maps in Synthetic Aperture Imaging Radiometers (SAIRs). This paper is concerned with RFI localization by one snapshot, and an artifact-free detection algorithm based on virtual array and spatial smoothing MUSIC has been proposed. The virtual array is composed of the baseline coverage of the SAIRs. The spatial smoothing method is applied to enhance the rank of the covariance matrix. And the classical MUSIC algorithm is used for direction finding. Experiments on SMOS data are carried out, and the results show better performance than the existing RFI localization algorithms in terms of artifact reduction, which is helpful to make sure whether there are relative weaker RFI sources around a strong RFI source.