Presentation | 2010-07-30 Identification Error Analysis of Block Orthogonal Modulations Takafumi KINUGASA, Ikuo OKA, Shingo ATA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Cognitive radios are intelligent communications, and are expected to realize an efficient use of the radio channel. The modulation identifications is one of the problem in the cognitive radio. As for the modulation identifications for block orthogonal modulation, the method of clustering and labeling was proposed. However, the identification performance has been evaluated only by the computer simulation. In this paper, error probability analysis is presented for a block orthogonal modulation identification using General Orthogonal Modulation(GOM). The analysis includes an inner product of two signals and noise. This causes difficulties in the analysis. The multidimensional rotation is employed for the difficulties in order to derive error probability. Numerical results confirm the validity of analysis. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Cognitive radio / General Orthogonal Modulation / modulation classification |
Paper # | SR2010-27 |
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Committee | SR |
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Conference Date | 2010/7/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Software Radio(SR) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Identification Error Analysis of Block Orthogonal Modulations |
Sub Title (in English) | |
Keyword(1) | Cognitive radio |
Keyword(2) | General Orthogonal Modulation |
Keyword(3) | modulation classification |
1st Author's Name | Takafumi KINUGASA |
1st Author's Affiliation | Graduate School of Engineering, Osaka City University() |
2nd Author's Name | Ikuo OKA |
2nd Author's Affiliation | Graduate School of Engineering, Osaka City University |
3rd Author's Name | Shingo ATA |
3rd Author's Affiliation | Graduate School of Engineering, Osaka City University |
Date | 2010-07-30 |
Paper # | SR2010-27 |
Volume (vol) | vol.110 |
Number (no) | 153 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |