Paper Abstract and Keywords |
Presentation |
2022-05-13 10:45
[Short Paper]
Demonstration of a direction-of-arrival estimation method based on deep learning using a uniform circular array antenna Taichi Ohtsuji, Katsuo Miyamoto (NEC) SR2022-13 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Direction-of-arrival (DOA) estimation methods based on deep learning have attracted attention, and they have shown some advantages over non-training methods. In previous studies, models have been trained on simulated training data generated on a computer, but no evaluation using data acquired in a real environment has been conducted. In this paper, we construct an experimental system using a uniform circular array antenna to verify the DOA estimation method based on deep learning with measured data. This paper demonstrates the effectiveness of deep-learning method by evaluating the experimantal system using models trained on measured data in the 420 MHz band. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
DOA estimation / deep learning / uniform circular array (UCA) / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 12, SR2022-13, pp. 58-60, May 2022. |
Paper # |
SR2022-13 |
Date of Issue |
2022-05-04 (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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SR2022-13 |
Conference Information |
Committee |
SR |
Conference Date |
2022-05-11 - 2022-05-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
NICT Koganei |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Software Defined Radio, AI/Machine Learning, Quantum-assisted wireless communications, etc. |
Paper Information |
Registration To |
SR |
Conference Code |
2022-05-SR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Demonstration of a direction-of-arrival estimation method based on deep learning using a uniform circular array antenna |
Sub Title (in English) |
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DOA estimation |
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deep learning |
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uniform circular array (UCA) |
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1st Author's Name |
Taichi Ohtsuji |
1st Author's Affiliation |
NEC Corporation (NEC) |
2nd Author's Name |
Katsuo Miyamoto |
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NEC Corporation (NEC) |
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Speaker |
Author-1 |
Date Time |
2022-05-13 10:45:00 |
Presentation Time |
15 minutes |
Registration for |
SR |
Paper # |
SR2022-13 |
Volume (vol) |
vol.122 |
Number (no) |
no.12 |
Page |
pp.58-60 |
#Pages |
3 |
Date of Issue |
2022-05-04 (SR) |
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