Efficient Inverse Scattering Algorithm by Incorporating RPM Method for Microwave Non-destructive Imaging

Takahashi, Shuto; Kidera, Shouhei

doi:10.23919/eusipco.2018.8553463

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Given this background and limitations of existing approaches, this paper proposes a bi-directional updating algorithm between radar and tomographic images, developing on the basic idea proposed in [37], [38], but they are based on the DBIM. The CSI method was used as its effectiveness has been demonstrated in various applications.…”

Section: Introductionmentioning

confidence: 99%

Microwave Subsurface Imaging Method by Incorporating Radar and Tomographic Approaches

Takahashi

Suzuki

Hanabusa

et al. 2022

IEEE Trans. Antennas Propagat.

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Due to its high resolution and deep penetration depth, microwave ultrawideband radar is a promising tool for the non-destructive testing (NDT) of transportation infrastructure. Microwave radiation can also be used to reconstruct the dielectric properties of objects and therefore can be used to detect an air cavity or metallic rust in concrete. We used contrast source inversion (CSI) as one of the most promising inverse scattering schemes. To resolve the observation domain limitations of nondestructive testing, radar imaging method, also known as range points migration (RPM) method, was first incorporated into the inverse scattering algorithm based on CSI as a region of interest (ROI) estimator, which substantially improves the accuracy of complex permittivity reconstruction. In addition, the ROI optimizing scheme based on the CSI cost function is used to enhance ROI accuracy. The effectiveness of the proposed methods is validated via finite-difference timedomain (FDTD)-based numerical simulation, which assumes typical NDT model.

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Section: Introductionmentioning

confidence: 99%