Paper Abstract and Keywords |
Presentation |
2018-03-02 09:00
[Invited Lecture]
Machine Learning Based Regression of Fingerprint Database for Unknown Radio Localization Azril Haniz, Gia Khanh Tran, Kei Sakaguchi, Jun-ichi Takada (Tokyo Tech), Toshihiro Yamaguchi, Tsutomu Mitsui, Shintaro Arata (Koden Electronics) SR2017-129 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Conventional fingerprinting techniques may face difficulties in dealing with the localization of unknown radios, due to the lack of knowledge regarding the radio parameters during the fingerprint database construction phase. In this paper, interpolation of the database in multiple domains as well as pattern matching will be discussed from a machine learning point of view, and evaluated through simulations. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
machine learning / propagation channel / interpolation / urban environment / unknown radio / illegal radio / localization / fingerprint |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 457, SR2017-129, pp. 81-88, Feb. 2018. |
Paper # |
SR2017-129 |
Date of Issue |
2018-02-21 (SR) |
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) |
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SR2017-129 |
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