Interferometric ISAR Imaging Based on Compressive Sensing
نویسندگان
چکیده
Inverse Synthetic Aperture Radar (ISAR) images are often used for target classification and recognition applications. However, conventional 2D images do not provide the height information about the scattering centers. In this paper, an interferometric ISAR imaging method based on compressive sensing (CS) is proposed that is able to estimate the scatterering centres heights. The interferometric ISAR system we consider is composed of two antennas at closely-separated elevation angles. In this paper, we propose a joint processing of the multichannel data to form ISAR images, which improves the height estimation performance over the case of independent processing. Simulation results are produced in order to verify the effectiveness of the proposed method and to compare with the independent processing.
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