Accelerating short range MIMO imaging with optimized Fourier processing

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

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

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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
Article number114110D
Pages (from-to)1-6
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2020
EventSPIE Defense + Commercial Sensing 2020 - Online, United States
Duration: 27 Apr 20208 May 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Fourier processing
  • Microwave imaging
  • Millimeter wave imaging
  • MIMO radar
  • Omega-k algorithm


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