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Compressive Sensing Techniques for mm-Wave Non-Destructive Testing of Composite Panels

Helander, Jakob LU ; Ericsson, Andreas LU ; Gustafsson, Mats LU orcid ; Martin, Torleif LU ; Sjoberg, Daniel LU orcid and Larsson, Christer LU (2017) In IEEE Transactions on Antennas and Propagation
Abstract

This paper presents imaging results from measurements of an industrially manufactured composite test panel, utilizing two introduced algorithms for data post-processing. The system employs a planar near-field scanning set-up for characterizing defects in composite panels in the 50–67 GHz band, and can be considered as a complementary diagnostic tool for non-destructive testing purposes. The introduced algorithms are based on the reconstruction of the illuminating source at the transmitter, enabling a separation of the sampled signal with respect to the location of its potential sources&#x003B; the scatterers within the device under test or the transmitter. For the second algorithm, a L1-minimization problem formulation is... (More)

This paper presents imaging results from measurements of an industrially manufactured composite test panel, utilizing two introduced algorithms for data post-processing. The system employs a planar near-field scanning set-up for characterizing defects in composite panels in the 50–67 GHz band, and can be considered as a complementary diagnostic tool for non-destructive testing purposes. The introduced algorithms are based on the reconstruction of the illuminating source at the transmitter, enabling a separation of the sampled signal with respect to the location of its potential sources&#x003B; the scatterers within the device under test or the transmitter. For the second algorithm, a L1-minimization problem formulation is introduced that enables compressive sensing techniques to be adapted for image retrieval. The algorithms are benchmarked against a more conventional imaging technique, based on the Fourier Transform, and it is seen that the complete imaging system provides increased dynamic range, improved resolution and reduced measurement time by removal of a reference measurement. Moreover, the system provides stable image quality over a range of frequencies.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Antenna measurements, Compressed sensing, compressive sensing, Electromagnetics, Frequency measurement, Imaging, imaging, millimeter wave, Non-destructive testing, planar scanning, source reconstruction, Testing, Time measurement
in
IEEE Transactions on Antennas and Propagation
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000414057000058
  • scopus:85028967123
ISSN
0018-926X
DOI
10.1109/TAP.2017.2738034
language
English
LU publication?
yes
id
a479aece-a4b7-4f70-94df-cda9a9b713e5
date added to LUP
2017-09-27 10:28:42
date last changed
2024-11-26 18:21:50
@article{a479aece-a4b7-4f70-94df-cda9a9b713e5,
  abstract     = {{<p>This paper presents imaging results from measurements of an industrially manufactured composite test panel, utilizing two introduced algorithms for data post-processing. The system employs a planar near-field scanning set-up for characterizing defects in composite panels in the 50&amp;#x2013;67 GHz band, and can be considered as a complementary diagnostic tool for non-destructive testing purposes. The introduced algorithms are based on the reconstruction of the illuminating source at the transmitter, enabling a separation of the sampled signal with respect to the location of its potential sources&amp;#x003B; the scatterers within the device under test or the transmitter. For the second algorithm, a L1-minimization problem formulation is introduced that enables compressive sensing techniques to be adapted for image retrieval. The algorithms are benchmarked against a more conventional imaging technique, based on the Fourier Transform, and it is seen that the complete imaging system provides increased dynamic range, improved resolution and reduced measurement time by removal of a reference measurement. Moreover, the system provides stable image quality over a range of frequencies.</p>}},
  author       = {{Helander, Jakob and Ericsson, Andreas and Gustafsson, Mats and Martin, Torleif and Sjoberg, Daniel and Larsson, Christer}},
  issn         = {{0018-926X}},
  keywords     = {{Antenna measurements; Compressed sensing; compressive sensing; Electromagnetics; Frequency measurement; Imaging; imaging; millimeter wave; Non-destructive testing; planar scanning; source reconstruction; Testing; Time measurement}},
  language     = {{eng}},
  month        = {{08}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Antennas and Propagation}},
  title        = {{Compressive Sensing Techniques for mm-Wave Non-Destructive Testing of Composite Panels}},
  url          = {{http://dx.doi.org/10.1109/TAP.2017.2738034}},
  doi          = {{10.1109/TAP.2017.2738034}},
  year         = {{2017}},
}