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| 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 Link to ES Tech. Rep. Archives: EMT2017-3 |
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| 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 Link to ES Tech. Rep. Archives: EMT2017-3 |
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| 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 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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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