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Ultra-wideband (UWB) Synthetic Aperture Radars (SAR) often operate in environments where other systems are present or some of the frequency bands may be reserved for other purposes. In this paper we propose a novel method based on sparse representation to recover SAR signals from radio frequency interference (RFI) and missing spectral information. The new method makes use of correlation between SAR data records in the cross-range direction in addition to the correlation in down-range direction as previously proposed by us[1, 2]. We demonstrate that the proposed method yields robust recovery results in the presence of high levels of RFI (up to 20dB) and up to 75% of frequency bands missing.
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Joy et al. (2014) studied this question.
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