An Overview of Clutter Mitigation Methods for Tomographic Material Inspection
Millimeter wave-based material inspection methods are capable of providing 3-D-tomographic images of composite materials with a sufficient resolution to detect, localize, and classify critical defects. The nondestructive and noncontact-based measurement methods' potential can only be utilized w...
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Published in | IEEE transactions on microwave theory and techniques Vol. 69; no. 1; pp. 846 - 860 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | Millimeter wave-based material inspection methods are capable of providing 3-D-tomographic images of composite materials with a sufficient resolution to detect, localize, and classify critical defects. The nondestructive and noncontact-based measurement methods' potential can only be utilized with a complete understanding of the signals propagation behavior. Such that the relevant signal processing is tailored to the respective application. A core challenge of these systems remains clutter mitigation. Due to the composite materials' structure, a significant component of the received signal is corrupted by internal reflections, manifesting as clutter. For this purpose, a variety of different clutter mitigation methods, which include: normalization, moving average and moving median filter, entropy-based filtering, time gating, spatial filtering, and singular value decomposition, are investigated. These methods are applied to tomographic data of glass fiber reinforced plastic components, acquired via a <inline-formula> <tex-math notation="LaTeX">{W} </tex-math></inline-formula>-band imaging system. |
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ISSN: | 0018-9480 1557-9670 |
DOI: | 10.1109/TMTT.2020.3034364 |