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Sparse signal recovery for ultrasonic detection and reconstruction of shadowed flaws

: Kirchhof, Jan; Krieg, Fabian; Römer, Florian; Ihlow, Alexander; Osman, Ahmad; Galdo, Giovanni del


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017. Proceedings : March 5-9, 2017, Hilton New Orleans Riverside, New Orleans, Louisiana, USA
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5090-4117-6
ISBN: 978-1-5090-4116-9
ISBN: 978-1-5090-4118-3
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <42, 2017, New Orleans/La.>
Fraunhofer IZFP ()
Fraunhofer IIS ()
ultrasound; non-destructive testing; Sparse Signal Recovery (SSR)

In this paper we propose a method to improve the detection of shadowed flaws in ultrasonic non-destructive testing (NDT). The Bscans are expressed in the context of Sparse Signal Recovery (SSR), where the shadowing effect is incorporated during the reconstruction: Whenever a new defect is found, its shadow on all other dictionary atoms is determined and the dictionary is updated accordingly. We develop models for determining the affected dictionary entries as well as for the intensity of the attenuation due to the shadow. Using Orthogonal Matching Pursuit (OMP), we demonstrate that the proposed method significantly improves the reconstruction amplitudes, i.e., the detection reliability, compared to conventional detection without incorporation of shadowing.