A compressive sensing (CS) based method for ISAR imaging with a stepped-frequency chirp signal (SFCS) is presented. It is outlined that by using the CS technique, the data rate has been remarkably reduced in bandwidth synthesis processing for SFCS to achieve a high range resolution. Imaging results of a moving train demonstrate the effectiveness of the proposed method.
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Xie et al. (2010) studied this question.
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