Accelerating short range MIMO imaging with optimized Fourier processing

Thomas Fromenteze, Okan Yurduseven, Fabien Berland, Cyril Decroze, David Smith, Alexander Yarovoy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationPassive and Active Millimeter-Wave Imaging XXIII
PublisherSPIE
Volume11411
DOIs
Publication statusPublished - 23 Apr 2020
EventSPIE Defense + Commercial Sensing: Passive and Active Millimeter-Wave Imaging XXIII - Anaheim, United States
Duration: 26 Apr 202030 Apr 2020

Publication series

NameProceedings of SPIE
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSPIE Defense + Commercial Sensing
CountryUnited States
CityAnaheim
Period26/04/202030/04/2020

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  • Cite this

    Fromenteze, T., Yurduseven, O., Berland, F., Decroze, C., Smith, D., & Yarovoy, A. (2020). Accelerating short range MIMO imaging with optimized Fourier processing. In Passive and Active Millimeter-Wave Imaging XXIII (Vol. 11411). (Proceedings of SPIE). SPIE. https://doi.org/10.1117/12.2558152