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| Presentation | 2016-11-24 11:35 Low Complexity Compressed Sensing Based Channel Estimation with Measurement Matrix Optimization for OFDM System Rian Ferdian, Ratih Hikmah Puspita, Yafei Hou, Minoru Okada (NAIST)  RCS2016-194 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Compressed sensing (CS) implementation for channel estimation is offering less pilot resource requirement with a better performance compared to that of the conventional interpolation methods. However, reducing the number of the pilots in a wireless system will deteriorate the system performance by aliasing phenomenon where some repetitive channel samples will be generated to reduce the correctness of CS algorithms. The aliasing effect will result to the wrong sparse locations estimation for the compressed sensing computation. In this paper, we will propose a measurement matrix optimization technique to reduce the aliasing effect on the CS based channel estimation for OFDM system. Using this technique, we can avoid the aliasing effect, and achieve low-complexity computation. Moreover, this technique can be directly implemented in the current OFDM based system without changing the design structure. The simulation results show that by only use 12.5% of pilots will not give a significant reduction in the BER performance. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Compressed Sensing / Channel Estimation / OFDM / Orthogonal Matching Pursuit / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 318, RCS2016-194, pp. 17-21, Nov. 2016. | |
| Paper # | RCS2016-194 | |
| Date of Issue | 2016-11-17 (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 | RCS2016-194 |
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| Conference Information | |
| Committee | RCS AP |
| Conference Date | 2016-11-24 - 2016-11-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto International Community House |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2016-11-RCS-AP |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Low Complexity Compressed Sensing Based Channel Estimation with Measurement Matrix Optimization for OFDM System |
| Sub Title (in English) | |
| Keyword(1) | Compressed Sensing |
| Keyword(2) | Channel Estimation |
| Keyword(3) | OFDM |
| Keyword(4) | Orthogonal Matching Pursuit |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Rian Ferdian |
| 1st Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 2nd Author's Name | Ratih Hikmah Puspita |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Yafei Hou |
| 3rd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 4th Author's Name | Minoru Okada |
| 4th Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2016-11-24 11:35:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2016-194 |
| Volume (vol) | vol.116 |
| Number (no) | no.318 |
| Page | pp.17-21 |
| #Pages | 5 |
| Date of Issue | 2016-11-17 (RCS) |
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