Paper Abstract and Keywords |
Presentation |
2022-07-15 13:30
[Short Paper]
Evaluations on RNN-based interference suppression method for CS radar Ryoto Koizumi, Xiaoyan Wang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.), Shigeki Takeda (Ibaraki Univ.) SR2022-39 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, high-resolution 77-GHz-band onboard radar has been extensively investigated since its inevitable role in automated driving. As onboard CS (Chirp Sequence) radars become more popular in the future, inter-radar interference will become a critical problem, which increase the target miss-detection and false-detection probabilities significantly. In the previous study, a broadband interference suppression method using deep learning was proposed, which shows the feasibility for high-density radar usage. In this study, we evaluated the trade-off between training time and interference suppression performance of the training model. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CS radar / inter-radar interference / wide band interference / deep learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 107, SR2022-39, pp. 84-86, July 2022. |
Paper # |
SR2022-39 |
Date of Issue |
2022-07-06 (SR) |
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) |
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SR2022-39 |
Conference Information |
Committee |
NS SR RCS SeMI RCC |
Conference Date |
2022-07-13 - 2022-07-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
The Kanazawa Theatre + Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Distributed Wireless Network, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc |
Paper Information |
Registration To |
SR |
Conference Code |
2022-07-NS-SR-RCS-SeMI-RCC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Evaluations on RNN-based interference suppression method for CS radar |
Sub Title (in English) |
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CS radar |
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inter-radar interference |
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wide band interference |
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deep learning |
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1st Author's Name |
Ryoto Koizumi |
1st Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
2nd Author's Name |
Xiaoyan Wang |
2nd Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
3rd Author's Name |
Masahiro Umehira |
3rd Author's Affiliation |
Nanzan University (Nanzan Univ.) |
4th Author's Name |
Shigeki Takeda |
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Ibaraki University (Ibaraki Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-07-15 13:30:00 |
Presentation Time |
15 minutes |
Registration for |
SR |
Paper # |
SR2022-39 |
Volume (vol) |
vol.122 |
Number (no) |
no.107 |
Page |
pp.84-86 |
#Pages |
3 |
Date of Issue |
2022-07-06 (SR) |
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