Jun Li, Fei Hu, Feng He, Liang Wu, Xiaohui Peng, Yayun Cheng, D. Zhu, Ke Chen
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Super-resolution RFI localization with compressive sensing in synthetic aperture interferometric radiometers
An accurate geolocation of the radio frequency interference (RFI) sources is significant to effectively switch off illegal transmitters. In this study, utilizing the sparse property of RFI in the observed scene, a super-resolution RFI localization method based on compressive sensing is presented in synthetic aperture interferometric radiometer (SAIR). Numerical results show the presented method can achieve an super-resolution RFI localization even when there are some missing data due to correlator or receiver failure.
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