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UWB array-based radar imaging using modified Kirchhoff migration

机译:使用改进的基尔霍夫偏移的基于UWB阵列的雷达成像

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This paper presents a new modification of Kirchhoff migration algorithm for Ultra-Wideband (UWB) array-based radar imaging. The developed algorithm is evolved from traditional Kirchhoff migration which is based on the classical integral theorem of Helmholtz and Kirchhoff. The new algorithm is designed for array-based radar imaging with arbitrary multiple input multiple output (MIMO) configuration. The developed algorithm is compared with conventional diffraction stack migration using both synthetic data from numerical simulation and measurement data from landmine detection. The results have shown promising improvements in the aspects of beamwidth, side-lobe rejection ratio and the ability to reconstruct shapes of distributed targets.
机译:本文针对基于超宽带(UWB)阵列的雷达成像提出了Kirchhoff迁移算法的新改进。所开发的算法是基于传统的基尔霍夫迁移算法发展而来的,后者基于Helmholtz和基尔霍夫的经典积分定理。新算法设计用于具有任意多输入多输出(MIMO)配置的基于阵列的雷达成像。使用数值模拟的合成数据和地雷探测的测量数据,将开发的算法与传统的衍射叠层偏移进行了比较。结果表明,在波束宽度,旁瓣抑制比和重构分布式目标形状的能力方面,有希望的改进。

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