Presentation | 2015-03-02 SNR Estimation for QAM by Likelihood Methods Shinji NISHIJIMA, Ikuo OKA, Shingo ATA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | According to radio channel conditions, the adaptive system changes modulation, coding, or power dynamically. The exact estimation of channel SNR is important in the adaptive system. In this paper, the new methods of maximum likelihood estimation are presented for SNR by using the probability density function (pdf) of envelope of received signals. The methods work in unknown signal power conditions, and don't require the carrier synchronization. The estimation accuracy of the proposed method is evaluated by normalized mean square error (NMSE). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SNR estimation / Maximum Likelihood estimation / QAM |
Paper # | IT2014-71,ISEC2014-84,WBS2014-63 |
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Committee | IT |
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Conference Date | 2015/2/23(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 Theory (IT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | SNR Estimation for QAM by Likelihood Methods |
Sub Title (in English) | |
Keyword(1) | SNR estimation |
Keyword(2) | Maximum Likelihood estimation |
Keyword(3) | QAM |
1st Author's Name | Shinji NISHIJIMA |
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 | 2015-03-02 |
Paper # | IT2014-71,ISEC2014-84,WBS2014-63 |
Volume (vol) | vol.114 |
Number (no) | 470 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |