用于非合作目标三维 InISAR 成像的双频相位解缠技术

Francesco Mancuso;Elisa Giusti;Brian Ng;Marco Martorella
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引用次数: 0

摘要

三维干涉反合成孔径雷达成像(3D InISAR)方法解决了与二维 ISAR 相关的可解释性难题。它通过提供目标的三维表示来实现这一目标,从而更全面地了解目标的形状和特征。然而,这种方法面临着与干涉测量模糊性有关的挑战,特别是在目标类型和目标范围等因素起作用的作战场景中。由于 ISAR 成像的离散性,违反了空间连续性的假设,因此在用于地形测绘的干涉 SAR 系统中使用的传统干涉图解包方法无法直接应用于 ISAR 中的人造物体。为了解决这些问题,文献中提出了各种多接收器解决方案。本文介绍了一种不同的方法:一种基于最大似然法的双频技术,应用于三维 InISAR 成像。该方法利用宽带接收器固有的频率分集和两个不重叠的子带宽,有效地解决了测量模糊问题。在模拟场景中对该方法进行测试,突出显示了该方法增强的重建能力以及利用扩展物理基线的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-Frequency Phase Unwrapping for 3D InISAR Imaging of Non-Cooperative Targets
The Three-Dimensional Interferometric Inverse Synthetic Aperture Radar Imaging (3D InISAR) method tackles the interpretability challenges associated with two-dimensional ISAR. It achieves this by providing a 3D representation of the target, offering a more comprehensive understanding of its shape and features. However, this approach faces challenges related to interferometric measurement ambiguity, especially in operational scenarios where factors such as target type and range of the target come into play. Conventional methods for interferogram unwrapping used in Interferometric SAR systems for topographic mapping cannot be directly applied to man-made objects in ISAR due to the discrete nature of ISAR imaging, which violates the assumption of spatial continuity. To address these issues, various multi-receiver solutions have been proposed in the literature. This paper introduces a different approach: a maximum likelihood-based dual-frequency technique applied to 3D InISAR imaging. Leveraging the frequency diversity inherent in a wideband receiver and utilizing two non-overlapping sub-bandwidths, this method effectively resolves measurement ambiguity. Testing the method in a simulated scenarios highlights the enhanced reconstruction abilities of the method and the benefits of utilizing extended physical baselines.
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