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| Presentation | 2013-02-01 09:00 Low Complexity Automatic Modulation Classification Technique for Multiple Modulation Schemes Yong Jin, Shuichi Ohno (Hiroshima Univ.)  SIP2012-98 RCS2012-255 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this article, we present a low computational complexity automatic modulation classification (AMC) method for multiple modulation schemes. AMC is a technique which identifies the modulation scheme of the transmitted signals only from received signals. To reduce the numerical complexity of the detector, we approximate probability density functions (PDF) of received signals. To verify that our detector is robust to the uncertainty in noise variance, we compare the case that the noise variance is available with the one that the noise variance is unavailable. It is demonstrated that the potential of our proposed method in detecting a certain modulation schemes from multiple candidates. Numerical simulations are provided to assess the performance of our proposed methods. To show the robust multiple schemes detection, we also compare the e ectiveness of our proposed detector in detecting the modulation scheme with the recently proposed generalized likelihood ratio test (GLRT)-based spectrum sensing method for cognitive radio which requires some prior information. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Automatic modulation classification / NP detector / Probability density function / GLRT / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 423, SIP2012-98, pp. 103-108, Jan. 2013. | |
| Paper # | SIP2012-98 | |
| Date of Issue | 2013-01-24 (SIP, RCS) | |
| 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) | |
| Download PDF | SIP2012-98 RCS2012-255 |
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| Conference Information | |
| Committee | SIP RCS |
| Conference Date | 2013-01-31 - 2013-02-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Viewport-Kure-Hotel (Kure) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2013-01-SIP-RCS |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Low Complexity Automatic Modulation Classification Technique for Multiple Modulation Schemes |
| Sub Title (in English) | |
| Keyword(1) | Automatic modulation classification |
| Keyword(2) | NP detector |
| Keyword(3) | Probability density function |
| Keyword(4) | GLRT |
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| 1st Author's Name | Yong Jin |
| 1st Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
| 2nd Author's Name | Shuichi Ohno |
| 2nd Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
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| Speaker | Author-1 |
| Date Time | 2013-02-01 09:00:00 |
| Presentation Time | 25 minutes |
| Registration for | SIP |
| Paper # | SIP2012-98, RCS2012-255 |
| Volume (vol) | vol.112 |
| Number (no) | no.423(SIP), no.424(RCS) |
| Page | pp.103-108 |
| #Pages | 6 |
| Date of Issue | 2013-01-24 (SIP, RCS) |
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