Autofocus for inverse synthetic aperture radar (ISAR) imaging by beamforming

Z. She, R. Bogner, D. Gray
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Abstract

Autofocus is critical for inverse synthetic aperture radar (ISAR) imaging. This paper develops two new approaches of autofocus for ISAR imaging based on beamforming. The ISAR observation model is established and the proposed approaches are described in detail. The relationships of the two approaches are identified and their statistical performance analysed. The results of processing simulated and real data confirm the validity of proposed approaches.
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基于波束形成的逆合成孔径雷达(ISAR)成像自动对焦
自动对焦是逆合成孔径雷达(ISAR)成像的关键。本文提出了两种基于波束形成的ISAR成像自动聚焦新方法。建立了ISAR观测模型,详细介绍了所提出的方法。确定了这两种方法的关系,并分析了它们的统计性能。仿真和实际数据的处理结果验证了所提方法的有效性。
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Notice of RetractionMultichannel super high resolution. Novel channel equalization and multidimensional arbitrary pattern synthesis Improving the sidelobes of arrays fed by multiple-beam beam formers Antenna measures of merit for ultra-wide synthetic aperture radar Intelligent low rate compression of speckled SAR imagery Airborne ground moving target indication using non-side-looking antennas
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