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Airborne multiple-input multiple-output array synthetic aperture radar (MIMO array SAR) can be used to directly obtain the three-dimensional (3-D) imagery of the illuminated region with a single track.
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In this new algorithm, unitary transformation can be employed to transform the sparse signal recovery model of uniform/nonuniform MIMO array SAR from the complex domain to the real domain.
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Due to the sophisticated structure and the speckle noise influence over urban areas, all the homologous points in the array SAR images cannot be coregistered precisely in the identical pixels.
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Airborne multiple-input multiple-output array synthetic aperture radar (MIMO array SAR) can be used to directly obtain the three-dimensional (3-D) imagery of the illuminated region with a single track.
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The validity of the algorithm can be verified by simulation and real data imaging, which can be used for reference in phased array SAR imaging of moving targets.
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In this new algorithm, unitary transformation can be employed to transform the sparse signal recovery model of uniform/nonuniform MIMO array SAR from the complex domain to the real domain.
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It shows that the exploiting of CLA and sparse recovery can significantly reduce the linear array antenna amount and the geometric resolution loss compared with the conventional uniform linear array SAR.
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