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Paper Abstract and Keywords
Presentation 2020-02-20 14:15
Acceleration Techniques for Chirp Z-Transform using AI-accelerator
Ken Mitobe, Saki Matsuo, Masato Gocho, Akira Kakitani, Masashi Shiraishi (MELCO) SANE2019-115
Abstract (in Japanese) (See Japanese page) 
(in English) When integrating a received signal of a frequency division MIMO (Multi input Multi output) radar, an integration loss occurs due to the influence of Doppler and range walk generated in a reflected wave from a moving target. As a method for suppressing these effects, there is a coherent integration method using CZT (Chirp Z-Transform). However, this method requires high computing power owing to repeatedly execute CZT.
In this paper, we propose acceleration techniques for Chirp Z-Transform using AI accelerator. As a result of evaluating these acceleration techniques, we found that our implementation using AI accelerator is up to 14 times faster than that using 16-core CPU.
Keyword (in Japanese) (See Japanese page) 
(in English) CZT / GPU / AI Accelerator / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 416, SANE2019-115, pp. 91-95, Feb. 2020.
Paper # SANE2019-115 
Date of Issue 2020-02-12 (SANE) 
ISSN 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 SANE2019-115

Conference Information
Committee SAT SANE  
Conference Date 2020-02-19 - 2020-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SANE 
Conference Code 2020-02-SAT-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration Techniques for Chirp Z-Transform using AI-accelerator 
Sub Title (in English)  
Keyword(1) CZT  
Keyword(2) GPU  
Keyword(3) AI Accelerator  
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1st Author's Name Ken Mitobe  
1st Author's Affiliation Mitsubishi Electric Corporation (MELCO)
2nd Author's Name Saki Matsuo  
2nd Author's Affiliation Mitsubishi Electric Corporation (MELCO)
3rd Author's Name Masato Gocho  
3rd Author's Affiliation Mitsubishi Electric Corporation (MELCO)
4th Author's Name Akira Kakitani  
4th Author's Affiliation Mitsubishi Electric Corporation (MELCO)
5th Author's Name Masashi Shiraishi  
5th Author's Affiliation Mitsubishi Electric Corporation (MELCO)
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Speaker Author-1 
Date Time 2020-02-20 14:15:00 
Presentation Time 25 minutes 
Registration for SANE 
Paper # SANE2019-115 
Volume (vol) vol.119 
Number (no) no.416 
Page pp.91-95 
#Pages 5 
Date of Issue 2020-02-12 (SANE) 

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