Presentation 2015-03-02
An Error Probability Analysis for QAM Classification by Two Amplitude Moments
Tomoaki ONO, Ikuo OKA, Shingo ATA,
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Abstract(in English) A signal detection and its classification are important to cognize radio environments, which include a radio wave monitering or cognitive radio applications. In this paper, a new QAM classification method is presented. The method is based on two amplitude moments. The classification error probability is derived in the presence of timing offset, and the humerical results demonstrate the superior classification performance of the method.
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Keyword(in English) QAM classification / amplitude moment / timing offset
Paper # IT2014-70,ISEC2014-83,WBS2014-62
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Committee ISEC
Conference Date 2015/2/23(1days)
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Registration To Information Security (ISEC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Error Probability Analysis for QAM Classification by Two Amplitude Moments
Sub Title (in English)
Keyword(1) QAM classification
Keyword(2) amplitude moment
Keyword(3) timing offset
1st Author's Name Tomoaki ONO
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 # IT2014-70,ISEC2014-83,WBS2014-62
Volume (vol) vol.114
Number (no) 471
Page pp.pp.-
#Pages 5
Date of Issue