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| Paper Abstract and Keywords | ||
| Presentation | 2008-11-07 10:25 Steady-State Kalman Filtering for Channel Estimation in OFDM Systems Utilizing SNR Maduranga Liyanage, Iwao Sasase (Keio Univ.)  CS2008-36 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Kalman filters are effective channel estimators but they have the drawback of having heavy calculations when filtering needs to be done in each sample. In our paper we obtain the steady-state Kalman gain to estimate the channel state thus eliminating a larger portion of the calculation burden. Steady-state value is calculated by transforming the vector Kalman filtering in to scalar domain by exploiting the filter characteristics when pilot subcarriers are used for channel estimation. Kalman filters operate optimally in the steady-state condition. Therefore by avoiding the convergence period of the Kalman gain, the proposed scheme is able to perform better than the conventional method. Also, driving noise variance of the channel is difficult to obtain practical situations and accurate knowledge is important for the proper operation of the Kalman filter. Thus we extend our scheme to operate in the absence of the knowledge of driving noise variance by utilizing received Signal-to-Noise Ratio (SNR). Simulation results show considerable estimator performance gain can be obtained compared to the conventional Kalman filter. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Orthogonal-frequency-division-multiplexing (OFDM) / channel estimation / steady-state / Kalman filter / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 279, CS2008-36, pp. 65-70, Nov. 2008. | |
| Paper # | CS2008-36 | |
| Date of Issue | 2008-10-30 (CS) | |
| 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 | CS2008-36 |
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| Conference Information | |
| Committee | CS |
| Conference Date | 2008-11-06 - 2008-11-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hotel Tsturuga, Akan, Hokkaido |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Broadband access network, Home networks, Network services, Applications using communication, etc. |
| Paper Information | |
| Registration To | CS |
| Conference Code | 2008-11-CS |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Steady-State Kalman Filtering for Channel Estimation in OFDM Systems Utilizing SNR |
| Sub Title (in English) | |
| Keyword(1) | Orthogonal-frequency-division-multiplexing (OFDM) |
| Keyword(2) | channel estimation |
| Keyword(3) | steady-state |
| Keyword(4) | Kalman filter |
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| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Maduranga Liyanage |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Iwao Sasase |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2008-11-07 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | CS |
| Paper # | CS2008-36 |
| Volume (vol) | vol.108 |
| Number (no) | no.279 |
| Page | pp.65-70 |
| #Pages | 6 |
| Date of Issue | 2008-10-30 (CS) |
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