| Presentation | 2005-07-21 Channel Estimation Method of OFDM Systems for Mobile Communications Shingo MURAZUMI, Gagik MKRTCHYAN, Katsuhiro NAITO, Kazuo MORI, Hideo KOBAYASHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When the OFDM technique is employed in the mobile communication systems, the accurate channel estimation method for each OFDM symbol is essential for achieving the potential bit error rate performance (BER) under the time-variant fading environments. Although the pilot signal assisted method is usually employed to track the time-variant fading channel, the efficiency of system performance would be degraded because of using the redundant pilot signals. This paper proposes a novel channel estimation method, which employs the time domain maximum likelihood (ML) method with decision data in the estimation of time domain channel impulse response. The feature of proposed method is to enable the accurate channel estimation symbol-by-symbol without assistance of pilot signal in the time-variant fading channel. This paper presents the computer simulation results to verify the effectiveness of proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | OFDM / channel estimation / time-variant fading channel / maximum likelihood (ML) |
| Paper # | SAT2005-13 |
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| Conference Information | |
| Committee | SAT |
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| Conference Date | 2005/7/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Satellite Telecommunications (SAT) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Channel Estimation Method of OFDM Systems for Mobile Communications |
| Sub Title (in English) | |
| Keyword(1) | OFDM |
| Keyword(2) | channel estimation |
| Keyword(3) | time-variant fading channel |
| Keyword(4) | maximum likelihood (ML) |
| 1st Author's Name | Shingo MURAZUMI |
| 1st Author's Affiliation | Faculty of Engineering, Mie University() |
| 2nd Author's Name | Gagik MKRTCHYAN |
| 2nd Author's Affiliation | Faculty of Engineering, Mie University |
| 3rd Author's Name | Katsuhiro NAITO |
| 3rd Author's Affiliation | Faculty of Engineering, Mie University |
| 4th Author's Name | Kazuo MORI |
| 4th Author's Affiliation | Faculty of Engineering, Mie University |
| 5th Author's Name | Hideo KOBAYASHI |
| 5th Author's Affiliation | Faculty of Engineering, Mie University |
| Date | 2005-07-21 |
| Paper # | SAT2005-13 |
| Volume (vol) | vol.105 |
| Number (no) | 189 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |