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| Presentation | 2019-02-13 12:40 Computational Complexity Reduction for an Adaptive Equalization Scheme based on Memory Polynomial for Compensating both Linear and Nonlinear Distortion Shunsuke Uehashi, Yasunori Nouda, Shigenori Tani, Shigeru Uchida, Atsushi Okamura (Mitsubishi Electric)  SAT2018-68 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The demand for wideband transmission is increasing greatly in satellite communication system. In wideband transmission, communication quality deteriorates due to nonlinear and linear distortion which occurred by analog characteristics of transmitters or receivers. To overcome this problem, we have proposed an adaptive equalization scheme based on memory polynomial model. This scheme can reduce the number of filter coefficients in Volterra equalizer and compensate the distortion using the FIR filter for non-linear distortion compensation in parallel to the conventional linear equalization. This paper presents an improvement method estimating filter coefficients of the linear equalizer part by simple signal processing. The simulation result shows the improvement of the power efficiency in satellite communication compared with the conventional linear equalization method, and it can reduce the computational complexity without performance degradation compared with the Volterra equalizer. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Adaptive Equalizer / Nonlinear Distortion / Volterra Filter / Memory Polynomial / LMS Algorithm / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 442, SAT2018-68, pp. 63-68, Feb. 2019. | |
| Paper # | SAT2018-68 | |
| Date of Issue | 2019-02-06 (SAT) | |
| 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) | |
| Download PDF | SAT2018-68 |
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| Conference Information | |
| Committee | SANE SAT |
| Conference Date | 2019-02-13 - 2019-02-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tanegashima Island |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Satellite Application and General |
| Paper Information | |
| Registration To | SAT |
| Conference Code | 2019-02-SANE-SAT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Computational Complexity Reduction for an Adaptive Equalization Scheme based on Memory Polynomial for Compensating both Linear and Nonlinear Distortion |
| Sub Title (in English) | |
| Keyword(1) | Adaptive Equalizer |
| Keyword(2) | Nonlinear Distortion |
| Keyword(3) | Volterra Filter |
| Keyword(4) | Memory Polynomial |
| Keyword(5) | LMS Algorithm |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shunsuke Uehashi |
| 1st Author's Affiliation | Mitsubishi Electric Corporation (Mitsubishi Electric) |
| 2nd Author's Name | Yasunori Nouda |
| 2nd Author's Affiliation | Mitsubishi Electric Corporation (Mitsubishi Electric) |
| 3rd Author's Name | Shigenori Tani |
| 3rd Author's Affiliation | Mitsubishi Electric Corporation (Mitsubishi Electric) |
| 4th Author's Name | Shigeru Uchida |
| 4th Author's Affiliation | Mitsubishi Electric Corporation (Mitsubishi Electric) |
| 5th Author's Name | Atsushi Okamura |
| 5th Author's Affiliation | Mitsubishi Electric Corporation (Mitsubishi Electric) |
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| Speaker | Author-1 |
| Date Time | 2019-02-13 12:40:00 |
| Presentation Time | 25 minutes |
| Registration for | SAT |
| Paper # | SAT2018-68 |
| Volume (vol) | vol.118 |
| Number (no) | no.442 |
| Page | pp.63-68 |
| #Pages | 6 |
| Date of Issue | 2019-02-06 (SAT) |
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