Microwave reflection tomographic array for damage detection of civil structures

Kim, Yoo Jin; Jofre, L.; Flaviis, F. De; Feng, Maria Q.

doi:10.1109/tap.2003.818786

Cited by 91 publications

(11 citation statements)

References 6 publications

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“…Characteristic to such a tomography scenario is that it necessitates the inversion technique to be genuinely three-dimensional: for example, slicing is not possible due to the low number of sources. Potential applications of the present subsurface imaging approach include at least astrophysical subsurface exploration purposes [1][2][3][4], biomedical microwave or ultrasonic imaging [5][6][7][8][9] and on-site material testing and inspection [10][11][12][13]. Our focus was on the first, with the central objective to find a robust imaging approach that can be implemented within a restricted in situ energy supply and tight mission payload limits [14].…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic 3D subsurface imaging with source sparsity for a synthetic object

Pursiainen

Kaasalainen

2015

Inverse Problems

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Abstract. This paper concerns electromagnetic 3D subsurface imaging in connection with sparsity of signal sources. We explored an imaging approach that can be implemented in situations that allow obtaining a large amount of data over a surface or a set of orbits but at the same time require sparsity of the signal sources. Characteristic to such a tomography scenario is that it necessitates the inversion technique to be genuinely three-dimensional: For example, slicing is not possible due to the low number of sources. Here, we primarily focused on astrophysical subsurface exploration purposes. As an example target of our numerical experiments we used a synthetic small planetary object containing three inclusions, e.g. voids, of the size of the wavelength. A tetrahedral arrangement of source positions was used, it being the simplest symmetric point configuration in 3D. Our results suggest that somewhat reliable inversion results can be produced within the present a priori assumptions, if the data can be recorded at a specific resolution. This is valuable early-stage knowledge especially for design of future planetary missions in which the payload needs to be minimized, and potentially also for the development of other lightweight subsurface inspection systems.

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Section: Introductionmentioning

confidence: 99%

Electromagnetic 3D subsurface imaging with source sparsity for a synthetic object

Pursiainen

Kaasalainen

2015

Inverse Problems

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“…Nonetheless, it has attracted the attention of scientists and engineers because of its high relevance to human life. For example, breast cancer detection using microwaves [12,16,35], defect identification in concrete structures [19,34,37], searching for anti-personal mines buried in the ground [3,9,10], and synthetic aperture radar imaging [8,13,14] are based on this problem. Related mathematical theories have also been developed [4,5,7,11,20,21,24,26,36].…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of thin electromagnetic inhomogeneity without diagonal elements of a multi-static response matrix

Park¹

2018

Inverse Problems

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This paper aims to shape the identification of thin inhomogeneities with different dielectric/magnetic properties from a two-dimensional homogeneous background. The shapes are identified through subspace migration without requiring the diagonal elements of the collected multi-static response matrix. To understand why subspace migration without diagonal elements can retrieve the shape of a thin inhomogeneity, we carefully investigate the relations between the imaging function and Bessel functions of orders 0 and 1. This analysis exploits the fact that when a thin homogeneity exists, the measured far-field pattern can be represented as an asymptotic expansion formula. The investigated relation is supported in numerical experiments with noisy data.

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“…[1][2][3][4][5][6][7][8] The physical principle of microwave techniques is very simple: when the propagating wave hits an embedded object or a boundary between materials with different dielectric constants, microwave will rebound as a ball hits the wall. The reflected signals are recorded and used to understand subsurface targets including their existence, location, and characteristics.…”

Section: Introductionmentioning

confidence: 99%

Ground penetrating detection using miniaturized radar system based on solid state microwave sensor

Yao

Chen

et al. 2013

Review of Scientific Instruments

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We propose a solid-state-sensor-based miniaturized microwave radar technique, which allows a rapid microwave phase detection for continuous wave operation using a lock-in amplifier rather than using expensive and complicated instruments such as vector network analyzers. To demonstrate the capability of this sensor-based imaging technique, the miniaturized system has been used to detect embedded targets in sand by measuring the reflection for broadband microwaves. Using the reconstruction algorithm, the imaging of the embedded target with a diameter less than 5 cm buried in the sands with a depth of 5 cm or greater is clearly detected. Therefore, the sensor-based approach emerges as an innovative and cost-effective way for ground penetrating detection.

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Microwave reflection tomographic array for damage detection of civil structures

Cited by 91 publications

References 6 publications

Electromagnetic 3D subsurface imaging with source sparsity for a synthetic object

Electromagnetic 3D subsurface imaging with source sparsity for a synthetic object

Reconstruction of thin electromagnetic inhomogeneity without diagonal elements of a multi-static response matrix

Ground penetrating detection using miniaturized radar system based on solid state microwave sensor

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