TY - GEN
T1 - Adapting range migration techniques for imaging with metasurface antennas
T2 - Algorithms for Synthetic Aperture Radar Imagery XXIV 2017
AU - Pulido Mancera, Laura
AU - Fromenteze, Thomas
AU - Sleasman, Timothy
AU - Boyarsky, Michael
AU - Imani, Mohammadreza F.
AU - Reynolds, Matthew S.
AU - Smith, David R.
N1 - Publisher Copyright:
© 2017 SPIE.
PY - 2017
Y1 - 2017
N2 - Dynamic metasurface antennas are planar structures that exhibit remarkable capabilities in controlling electromagnetic wave-fronts, advantages which are particularly attractive for microwave imaging. These antennas exhibit strong frequency dispersion and produce diverse radiation patterns. Such behavior presents unique challenges for integration with conventional imaging algorithms. We analyze an adapted version of the range migration algorithm (RMA) for use with dynamic metasurfaces in image reconstruction. Focusing on the the proposed pre-processing step, that ultimately allows a fast processing of the backscattered signal in the spatial frequency domain from which the fast Fourier transform can efficiently reconstruct the scene. Numerical studies illustrate imaging performance using both conventional methods and the adapted RMA, demonstrating that the RMA can reconstruct images with comparable quality in a fraction of the time. In this paper, we demonstrate the capabilities of the algorithm as a fast reconstruction tool, and we analyze the limitations of the presented technique in terms of image quality.
AB - Dynamic metasurface antennas are planar structures that exhibit remarkable capabilities in controlling electromagnetic wave-fronts, advantages which are particularly attractive for microwave imaging. These antennas exhibit strong frequency dispersion and produce diverse radiation patterns. Such behavior presents unique challenges for integration with conventional imaging algorithms. We analyze an adapted version of the range migration algorithm (RMA) for use with dynamic metasurfaces in image reconstruction. Focusing on the the proposed pre-processing step, that ultimately allows a fast processing of the backscattered signal in the spatial frequency domain from which the fast Fourier transform can efficiently reconstruct the scene. Numerical studies illustrate imaging performance using both conventional methods and the adapted RMA, demonstrating that the RMA can reconstruct images with comparable quality in a fraction of the time. In this paper, we demonstrate the capabilities of the algorithm as a fast reconstruction tool, and we analyze the limitations of the presented technique in terms of image quality.
KW - Metamaterials
KW - Microwave Imaging
KW - Range Migration Algorithm
KW - Synthetic Aperture Radar (SAR)
UR - http://www.scopus.com/inward/record.url?scp=85021817797&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021817797&partnerID=8YFLogxK
U2 - 10.1117/12.2262906
DO - 10.1117/12.2262906
M3 - Conference contribution
AN - SCOPUS:85021817797
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Algorithms for Synthetic Aperture Radar Imagery XXIV
A2 - Garber, Frederick D.
A2 - Zelnio, Edmund
PB - SPIE
Y2 - 13 April 2017
ER -