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Compressed sensing mm-wave SAR for non-destructive testing applications using side information Host Publication: 2016 IEEE Radar Conference, RadarConf 2016 Authors: M. Becquaert, E. Cristofani, G. Pandey, M. Vandewal, J. Stiens and N. Deligiannis Publisher: IEEE Publication Date: May. 2016 Number of Pages: 5
Abstract: This paper evaluates the applicability of an innovative strategy for applying compressed Sensing (CS) on Synthetic Aperture Radar (SAR) imaging, in the mm-wave range, using prior or structural side information. The studied technique adds the side information to the conventional CS minimization problem using an l1-l1 minimization approach, allowing for lower sub-Nyquist sampling than standard CS predicts. The applicability of this strategy on ultra-wideband SAR measurements is tested through simulations and real Non-Destructive Testing (NDT) experiments on a 3D-printed polymer object.
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