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Modified Kirchhoff Migration for UWB MIMO Array-Based Radar Imaging

机译:基于UWB MIMO阵列的雷达成像的改进Kirchhoff迁移

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摘要

In this paper, the formulation of Kirchhoff migration is modified for multiple-input–multiple-output (MIMO) array-based radar imaging in both free-space and subsurface scenarios. By applying the Kirchhoff integral to the multistatic data acquisition, the integral expression for the MIMO imaging is explicitly derived. Inclusion of the Snell's law and the Fresnel's equations into the integral formulation further expends the migration technique to subsurface imaging. A modification of the technique for strongly offset targets is proposed as well. The developed migration techniques are able to perform imaging with arbitrary MIMO configurations, which allow further exploration of the benefits of various array topologies. The proposed algorithms are compared with conventional diffraction stack migration on free-space synthetic data and experimentally validated by ground-penetrating radar experiments in subsurface scenarios. The results show that the modified Kirchhoff migration is superior over the conventional diffraction stack migration in the aspects of resolution, side-lobe level, clutter rejection ratio, and the ability to reconstruct shapes of distributed targets.
机译:在本文中,针对自由空间和地下场景中基于多输入多输出(MIMO)阵列的雷达成像,修改了Kirchhoff偏移的公式。通过将Kirchhoff积分应用于多静态数据采集,可以明确导出MIMO成像的积分表达式。将Snell定律和Fresnel方程纳入积分公式可进一步将迁移技术扩展至地下成像。还提出了针对强偏移目标的技术的改进。开发的迁移技术能够以任意MIMO配置执行成像,从而可以进一步探索各种阵列拓扑的优势。将所提出的算法与在自由空间合成数据上的常规衍射堆栈偏移进行比较,并通过地下情况下的探地雷达实验进行了实验验证。结果表明,在分辨率,旁瓣水平,杂波抑制比和重构分布目标形状的能力方面,改进的基尔霍夫偏移优于常规的衍射叠层偏移。

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