Paper Abstract and Keywords |
Presentation |
2015-04-24 15:30
Radiometric Identification with a Classifier Utilizing a Liner Kernels and Its Application to the Automatic Identification System Takashi Iwamoto (Mitsubishi Electric) SANE2015-5 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Wide spread of radio information systems has increased danger caused by counterfeited information. For example, the Automatic Identification System is nowadays regarded as a key part for achieving maritime awareness and allows an emitter in principle to broadcast counterfeited information, since its coding rule is published. To prevent such fraudulent devices from accessing a wireless system, radiometric identification of emitters has been developed. From a user point of view, identifiers of wide ranges of targets are preferred. In this paper, a support vector machine utilizing linear kernel functions is introduced. Experiment on identification of signals whose noise ratios are controlled over a wide range shows graceful robustness of accuracy. This method contributes directly to widen area of awareness. Furthermore, linear kernel functions allow effective identification based on hierarchical nature of Automatic Identification System signals. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Radiometric Identification of Emitters / Automatic Identification System / Support Vector Machine / Linear Kernel Function / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 16, SANE2015-5, pp. 25-28, April 2015. |
Paper # |
SANE2015-5 |
Date of Issue |
2015-04-17 (SANE) |
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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SANE2015-5 |
Conference Information |
Committee |
SANE |
Conference Date |
2015-04-24 - 2015-04-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Remote sensing, EW and general |
Paper Information |
Registration To |
SANE |
Conference Code |
2015-04-SANE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Radiometric Identification with a Classifier Utilizing a Liner Kernels and Its Application to the Automatic Identification System |
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Radiometric Identification of Emitters |
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Automatic Identification System |
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Support Vector Machine |
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Linear Kernel Function |
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1st Author's Name |
Takashi Iwamoto |
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Mitsubishi Electric Corporation (Mitsubishi Electric) |
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Speaker |
Author-1 |
Date Time |
2015-04-24 15:30:00 |
Presentation Time |
25 minutes |
Registration for |
SANE |
Paper # |
SANE2015-5 |
Volume (vol) |
vol.115 |
Number (no) |
no.16 |
Page |
pp.25-28 |
#Pages |
4 |
Date of Issue |
2015-04-17 (SANE) |
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