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Imaging of buried objects from multi-frequency experimental data using a globally convergent inversion method

机译:用多频实验数据成像埋藏物体   全局收敛反演方法

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摘要

This paper is concerned with the numerical solution to a 3D coefficientinverse problem for buried objects with multi-frequency experimental data. Themeasured data, which are associated with a single direction of an incidentplane wave, are backscatter data for targets buried in a sandbox. These rawscattering data were collected using a microwave scattering facility at theUniversity of North Carolina at Charlotte. We develop a data preprocessingprocedure and exploit a newly developed globally convergent inversion methodfor solving the inverse problem with these preprocessed data. It is shown thatdielectric constants of the buried targets as well as their locations arereconstructed with a very good accuracy. We also prove a new analytical resultwhich rigorously justifies an important step of the so-called "datapropagation" procedure.
机译:本文涉及具有多频实验数据的埋藏物体的3D系数反问题的数值解。与入射平面波的单个方向关联的测量数据是掩埋在沙箱中的目标的反向散射数据。这些原始散射数据是使用北卡罗来纳大学夏洛特分校的微波散射设备收集的。我们开发了一个数据预处理程序,并利用一种新开发的全局收敛反演方法来解决这些预处理数据的反问题。结果表明,掩埋靶的介电常数及其位置可以非常准确地重建。我们还证明了新的分析结果,该结果严格证明了所谓的“数据传播”过程的重要步骤。

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