Presentation | 2015-03-06 Sub-Optimum Maximum Likelihood Modulation Classification Algorithm Using Multiple Antennas Kenta HOMMA, Tetsuya SHIMAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Blind modulation classification (MC) plays an important role in many wireless communication systems such as cognitive radio. MC is a process to determine the unknown modulation schemes of the received signal from a set of modulation candidates. Maximum likelihood (ML) algorithm is typically used in blind MC. This algorithm, however, suffers from high computational complexity. Recently, MC algorithms with multiple antennas have been addressed. Most of the algorithms with multiple antennas are devoted to only classification accuracy for blind MC. We consider the computational complexity for the MLMC algorithm and propose a novel efficient MC algorithm with multiple antennas. Through computer simulations, we show that the performance of the proposed algorithm is competitive to that of the MLMC algorithm with single antenna under certain conditions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | modulation classification / modulation / maximum likelihood |
Paper # | SIS2014-104 |
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Committee | SIS |
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Conference Date | 2015/2/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Sub-Optimum Maximum Likelihood Modulation Classification Algorithm Using Multiple Antennas |
Sub Title (in English) | |
Keyword(1) | modulation classification |
Keyword(2) | modulation |
Keyword(3) | maximum likelihood |
1st Author's Name | Kenta HOMMA |
1st Author's Affiliation | Graduate School of Science Engineering, Saitama University() |
2nd Author's Name | Tetsuya SHIMAMURA |
2nd Author's Affiliation | Graduate School of Science Engineering, Saitama University |
Date | 2015-03-06 |
Paper # | SIS2014-104 |
Volume (vol) | vol.114 |
Number (no) | 496 |
Page | pp.pp.- |
#Pages | 6 |
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