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An overview of clutter mitigation methods for tomographic material inspection

 
: Meier, Dominik; Gashi, Bersant; Zech, Christian; Baumann, Benjamin; Link, Torsten; Schlechtweg, Michael; Kühn, Jutta; Rösch, Markus; Reindl, Leonhard M.

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IEEE transactions on microwave theory and techniques 69 (2021), No.1, pp.846-860
ISSN: 0018-9480
ISSN: 1557-9670
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
0324055A; InFaRo
Innovative Prüfmethodik für Faserverbundbauteile im Rotorblattsektor
English
Journal Article
Fraunhofer IAF ()
clutter mitigation; composite materials; millimeter-wave radar; nondestructive testing; radar-clutter; radar imaging; singular value decomposition (SVD)

Abstract
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 W-band imaging system.

: http://publica.fraunhofer.de/documents/N-624509.html