Accelerating short range MIMO imaging with optimized Fourier processing

Thomas Fromentèze; Okan Yurduseven; Fabien Berland; Decroze Cyril; David R. Smith; Alexander G. Yarovoy

doi:10.1117/12.2558152

23 April 2020 Accelerating short range MIMO imaging with optimized Fourier processing

Thomas Fromentèze, Okan Yurduseven, Fabien Berland, Decroze Cyril, David R. Smith, Alexander G. Yarovoy

Proceedings Volume 11411, Passive and Active Millimeter-Wave Imaging XXIII; 114110D (2020) https://doi.org/10.1117/12.2558152
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

In this paper, we describe the recent development of new algorithms applied to short-range radar imaging. Facing the limitations of classical backpropagation algorithms, the use of techniques based on Fast Fourier Transforms has led to substantial image computation accelerations, especially for Multiple-Input Multiple-Output systems. The necessary spatial interpolation and zero-padding steps are still particularly limiting in this context, so it is proposed to replace it by a more efficient matrix technique, showing improvements in memory consumption, image computation speed and reconstruction quality.

Conference Presentation

Citation Download Citation

Thomas Fromentèze, Okan Yurduseven, Fabien Berland, Decroze Cyril, David R. Smith, and Alexander G. Yarovoy "Accelerating short range MIMO imaging with optimized Fourier processing", Proc. SPIE 11411, Passive and Active Millimeter-Wave Imaging XXIII, 114110D (23 April 2020); https://doi.org/10.1117/12.2558152

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