Accelerating short range MIMO imaging with optimized Fourier processing

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

doi:10.1117/12.2558152

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

Microwave Sensing, Signals & Systems

Research output: Contribution to journal › Conference article › Scientific › peer-review

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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 language	English
Article number	114110D
Pages (from-to)	1-6
Number of pages	6
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11411
DOIs	https://doi.org/10.1117/12.2558152
Publication status	Published - 2020
Event	SPIE Defense + Commercial Sensing 2020 - Online, United States Duration: 27 Apr 2020 → 8 May 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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.

Keywords

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

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10.1117/12.2558152

114110DFinal published version, 4.01 MB

Cite this

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title = "Accelerating short range MIMO imaging with optimized Fourier processing",

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.",

keywords = "Fourier processing, Microwave imaging, Millimeter wave imaging, MIMO radar, Omega-k algorithm",

author = "Thomas Froment{\`e}ze and Okan Yurduseven and Fabien Berland and Cyril Decroze and Smith, {David R.} and Yarovoy, {Alexander G.}",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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.; SPIE Defense + Commercial Sensing 2020 ; Conference date: 27-04-2020 Through 08-05-2020",

year = "2020",

doi = "10.1117/12.2558152",

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AU - Yurduseven, Okan

AU - Berland, Fabien

AU - Decroze, Cyril

AU - Smith, David R.

AU - Yarovoy, Alexander G.

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Fourier processing

KW - Microwave imaging

KW - Millimeter wave imaging

KW - MIMO radar

KW - Omega-k algorithm

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U2 - 10.1117/12.2558152

DO - 10.1117/12.2558152

M3 - Conference article

AN - SCOPUS:85086995178

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VL - 11411

SP - 1

EP - 6

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 114110D

T2 - SPIE Defense + Commercial Sensing 2020

Y2 - 27 April 2020 through 8 May 2020

ER -

Accelerating short range MIMO imaging with optimized Fourier processing

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