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Sensors 2018, 18(6), 1761; https://doi.org/10.3390/s18061761

Compressed Sensing mm-Wave SAR for Non-Destructive Testing Applications Using Multiple Weighted Side Information

1
CISS Department, Royal Military Academy, 30 Av. de la Renaissance, B-1000 Brussels, Belgium
2
ETRO Department, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium
3
IMEC, Kapeldreef 75, 3001 Leuven, Belgium
*
Author to whom correspondence should be addressed.
Received: 14 April 2018 / Revised: 18 May 2018 / Accepted: 26 May 2018 / Published: 31 May 2018
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [563 KB, uploaded 31 May 2018]   |  

Abstract

This work explores an innovative strategy for increasing the efficiency of compressed sensing applied on mm-wave SAR sensing using multiple weighted side information. The approach is tested on synthetic and on real non-destructive testing measurements performed on a 3D-printed object with defects while taking advantage of multiple previous SAR images of the object with different degrees of similarity. The tested algorithm attributes autonomously weights to the side information at two levels: (1) between the components inside the side information and (2) between the different side information. The reconstruction is thereby almost immune to poor quality side information while exploiting the relevant components hidden inside the added side information. The presented results prove that, in contrast to common compressed sensing, good SAR image reconstruction is achieved at subsampling rates far below the Nyquist rate. Moreover, the algorithm is shown to be much more robust for low quality side information compared to coherent background subtraction. View Full-Text
Keywords: compressed sensing; synthetic aperture radar; mm-wave sensing; side information; non-destructive testing; additive manufacturing compressed sensing; synthetic aperture radar; mm-wave sensing; side information; non-destructive testing; additive manufacturing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Becquaert, M.; Cristofani, E.; Van Luong, H.; Vandewal, M.; Stiens, J.; Deligiannis, N. Compressed Sensing mm-Wave SAR for Non-Destructive Testing Applications Using Multiple Weighted Side Information. Sensors 2018, 18, 1761.

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