scholarly journals A microwave imaging method for NDE/NDT based on the SMW technique for the electromagnetic field prediction

Author(s):  
S. Caorsi ◽  
M. Donelli ◽  
A. Massa ◽  
M. Pastorino ◽  
A. Randazzo ◽  
...  
2012 ◽  
Vol 126 ◽  
pp. 333-353 ◽  
Author(s):  
Ke-Fei Liao ◽  
Xiao-Ling Zhang ◽  
Jun Shi

2018 ◽  
Vol 66 (12) ◽  
pp. 7282-7294 ◽  
Author(s):  
Claudio Estatico ◽  
Alessandro Fedeli ◽  
Matteo Pastorino ◽  
Andrea Randazzo

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2865 ◽  
Author(s):  
Alessandro Fedeli ◽  
Matteo Pastorino ◽  
Cristina Ponti ◽  
Andrea Randazzo ◽  
Giuseppe Schettini

The imaging of dielectric targets hidden behind a wall is addressed in this paper. An analytical solver for a fast and accurate computation of the forward scattered field by the targets is proposed, which takes into account all the interactions of the electromagnetic field with the interfaces of the wall. Furthermore, an inversion procedure able to address the full underlying non-linear inverse scattering problem is introduced. This technique exploits a regularizing scheme in Lebesgue spaces in order to reconstruct an image of the hidden targets. Preliminary numerical results are provided in order to initially assess the capabilities of the developed solvers.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Fabio C. S. da Silva ◽  
Anthony B. Kos ◽  
Grace E. Antonucci ◽  
Jason B. Coder ◽  
Craig W. Nelson ◽  
...  

AbstractLight-in-flight sensing has emerged as a promising technique in image reconstruction applications at various wavelengths. We report a microwave imaging system that uses an array of transmitters and a single receiver operating in continuous transmit-receive mode. Captures take a few microseconds and the corresponding images cover a spatial range of tens of square meters with spatial resolution of 0.1 meter. The images are the result of a dot product between a reconstruction matrix and the captured signal with no prior knowledge of the scene. The reconstruction matrix uses an engineered electromagnetic field mask to create unique random time patterns at every point in the scene and correlates it with the captured signal to determine the corresponding voxel value. We report the operation of the system through simulations and experiment in a laboratory scene. We demonstrate through-wall real-time imaging, tracking, and observe second-order images from specular reflections.


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