Presentation | 2009-03-10 Approximate ML Symbol Detection of OSTBC-OFDM over Unknown Channels Tomoya AIZAWA, Teruyuki MIYAJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | By applying space-time coding, OFDM systems becomes more robust to multipath fading. In the case where a channel is unknown at the receiver, space-time coded symbols can be decoded by the well-known maximum likelihood (ML) scheme. However, the computational complexity of the ML is too expensive. In this article, we consider the application of the M-algorithm, which is known as an approximation scheme to the ML, to obtain a sub-optimum estimate with reduced complexity. Simulation results show that the symbol error probability obtained by the M-algorithm is almost the same as that obtained with a known channel in high SNR region. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | orthogonal frequency division multiple / orthogonal space-time block coding / symbol detection |
Paper # | IT2008-114,ISEC2008-172,WBS2008-127 |
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Conference Information | |
Committee | ISEC |
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Conference Date | 2009/3/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Security (ISEC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Approximate ML Symbol Detection of OSTBC-OFDM over Unknown Channels |
Sub Title (in English) | |
Keyword(1) | orthogonal frequency division multiple |
Keyword(2) | orthogonal space-time block coding |
Keyword(3) | symbol detection |
1st Author's Name | Tomoya AIZAWA |
1st Author's Affiliation | Graduate School of Science and Engineering, Ibaraki University() |
2nd Author's Name | Teruyuki MIYAJIMA |
2nd Author's Affiliation | Domain of Systems Engineering, College of Engineering, Ibaraki University |
Date | 2009-03-10 |
Paper # | IT2008-114,ISEC2008-172,WBS2008-127 |
Volume (vol) | vol.108 |
Number (no) | 473 |
Page | pp.pp.- |
#Pages | 5 |
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