Three-dimensional reverse-time migration applied to a MIMO GPR system for subsurface imaging

Liu, H.; Zhang, Y. X.; Long, Zhijun; Han, Feng; Liu, Q. H.

doi:10.1109/icgpr.2016.7572682

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…Due to its high imaging accuracy and lack of sensitivity to dip angle, RTM is currently considered one of the best migration techniques available. Liu et al used the RTM algorithm to obtain a high-resolution image of the lunar regolith structures [2]. Li et al proposed a modified RTM method, which combined with dispersive bending wave to image the defects in the plate, the flaw position obtained by simulation is consistent with its actual position [3].…”

Section: Introductionmentioning

confidence: 99%

Improved reverse-time migration for electromagnetic waves imaging

Wei,

Chen,

Kuang

2023

International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023)

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Section: Introductionmentioning

confidence: 99%

Improved reverse-time migration for electromagnetic waves imaging

Wei,

Chen,

Kuang

2023

International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023)

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“…imaging technology has attracted widespread attention because of its high-resolution image reconstruction ability with large dynamic range [1,2]. Moreover, since MMW has certain penetrability and non-ionization characteristics [3,4], this technology has been widely used in multiple nondestructive testing (NDT) applications such as security check and structural defect detection [5][6][7][8][9].…”

Section: Introduction Ecently Array-based Millimeter-wave (Mmw) 3dmentioning

confidence: 99%

Efficient 3-D Imaging Algorithm for Layered Structures Based on Scanning 1-D MIMO Array

Deng

Chen

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Since its unique advantages in the trade-off between data acquisition rate and hardware cost, the scanning 1D multipleinput-multiple-output (MIMO) array setup has been widely used in nondestructive testing (NDT) applications, especially for product quality control on the assembly line. In this article, two fast fully focused algorithms based on scanning 1D MIMO array are developed for imaging half-space medium structures. Both of the algorithms are derived under the half-space Green's function, and are implemented through fast Fourier transform (FFT) and phase compensation. The only difference between these two algorithms is that the matrix multiplication and nonuniform FFT (NUFFT) are respectively employed to reconstruct the range profile. Simulation and experimental results verify the effectiveness of the proposed algorithms in computation efficiency and image reconstruction quality.

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“…With the development of transportation and expressage, the detection of hidden dangers becomes more and more urgent [ 1 ]. In terms of practical applications, there is a demand on detecting or imaging devices that has a high detection performance, and does not affect the normal flow of goods or people.…”

Section: Introductionmentioning

confidence: 99%

A Fast 3D Near Range Imaging Algorithm for a Scanning Sparse MIMO Array in the Millimeter Band

Wang

Deng

Yang

et al. 2020

Sensors

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Millimeter-wave technology has been widely used in near range targets imaging scenarios, such as mechanical scanning and multiple input multiple output (MIMO) array imaging. Emerging scanning array regimes increase the need for fast-speed and high-quality imaging techniques, which, however, are often subject to specific array positions. Moreover, the relationship between array positions and the imaging performance is not clear, which leads to no uniform standard for array design. In this paper, a series of array configurations are designed to explore the impact of different array positions on the cross-range imaging performance. Meanwhile, a novel fast fully focused imaging algorithm with wavenumber domain properties is presented, which is not constrained by the positions of the transmitters and receivers. Simulation and experimental results show that, compared with a conventional algorithm, the proposed algorithm has a faster imaging speed under the same imagining quality. This study provides a feasible method for fast fully focused imaging in the case of location-constrained MIMO arrays, or partially damaged transceivers.

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Three-dimensional reverse-time migration applied to a MIMO GPR system for subsurface imaging

Cited by 7 publications

References 10 publications

Improved reverse-time migration for electromagnetic waves imaging

Improved reverse-time migration for electromagnetic waves imaging

Efficient 3-D Imaging Algorithm for Layered Structures Based on Scanning 1-D MIMO Array

A Fast 3D Near Range Imaging Algorithm for a Scanning Sparse MIMO Array in the Millimeter Band

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