Abstract
Since the width of range swath of synthetic aperture radar (SAR) is restricted by the pulse repetition frequency, conventional SAR imaging methods based on the Nyquist sampling theorem can hardly achieve the high-resolution and wide-swath simultaneously. In this paper, we propose a sparsity-driven high-resolution and wide-swath SAR imaging algorithm based on Poisson disk sampling. Poisson disk sampling adopted in the azimuth direction provides the potential of a wider imaging swath. The imaging formation is then converted to a sparse reconstruction model and carried out by performing iterative shrinkage threshold algorithm. The experimental results demonstrate that the proposed method can realize high-resolution and wide-swath SAR imaging simultaneously.
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