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Paper Abstract and Keywords
Presentation 2017-06-02 13:00
Realtime 3D image reconstruction methods based on compressive sensing with CUDA support
Iakov Chernyak, Motoyuki Sato (Tohoku Univ.) EMT2017-3
Abstract (in Japanese) (See Japanese page) 
(in English) We developed a number of GPU optimized 3D radar image reconstruction algorithms and applied it for the 3D sparse array radar with 16 transmitters and 16 receivers. The radar uses SFCW with frequency bandwidth from 270MHz to 8GHz, it allows to reconstruct image without scan within 64x45 cm with azimuthal resolution 5 cm, and within distance of 300 cm with range resolution of 3 cm. The least square image reconstruction algorithm with CUDA support allows to achieve 0.75 volumetric images per second, that allows to use the radar in real-time mode. We showed that GPU usage boosts the calculation more than 100 times comparing to the calculation on CPU.
Keyword (in Japanese) (See Japanese page) 
(in English) CUDA / GPU / 3D image reconstruction / Sparse Array Radar / Compressive Sensing / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 74, EMT2017-3, pp. 19-24, June 2017.
Paper # EMT2017-3 
Date of Issue 2017-05-26 (EMT) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EMT2017-3

Conference Information
Committee EMT IEE-EMT  
Conference Date 2017-06-02 - 2017-06-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Nihon University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Electromagnetic Theory, etc. 
Paper Information
Registration To EMT 
Conference Code 2017-06-EMT-EMT 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Realtime 3D image reconstruction methods based on compressive sensing with CUDA support 
Sub Title (in English)  
Keyword(1) CUDA  
Keyword(2) GPU  
Keyword(3) 3D image reconstruction  
Keyword(4) Sparse Array Radar  
Keyword(5) Compressive Sensing  
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1st Author's Name Iakov Chernyak  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Motoyuki Sato  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2017-06-02 13:00:00 
Presentation Time 25 minutes 
Registration for EMT 
Paper # EMT2017-3 
Volume (vol) vol.117 
Number (no) no.74 
Page pp.19-24 
#Pages 6 
Date of Issue 2017-05-26 (EMT) 

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