2007
DOI: 10.1093/ietcom/e90-b.2.296
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Blind Modulation Classification Algorithm for Adaptive OFDM Systems

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Cited by 5 publications
(2 citation statements)
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“…In this book chapter, we will highlight the classification of digital quadrature amplitude modulation (QAM) schemes in wireless adaptive OFDM systems using the likelihood principle (Edinger et al, 2007;Huang et al, 2007;Lampe, 2004). We particularly focus on 1 The BAT contains the information about the modulation schemes on each subcarrier.…”
Section: Introductionmentioning
confidence: 99%
“…In this book chapter, we will highlight the classification of digital quadrature amplitude modulation (QAM) schemes in wireless adaptive OFDM systems using the likelihood principle (Edinger et al, 2007;Huang et al, 2007;Lampe, 2004). We particularly focus on 1 The BAT contains the information about the modulation schemes on each subcarrier.…”
Section: Introductionmentioning
confidence: 99%
“…The existing blind modulation detections are based on maximum likelihood algorithm (ML) has been presented in [1]- [4]. The new proposed method introduces the compensation rule in OFDM blind modulation detection method by combination of distance histogram and phase histogram to reinforce blind detection performance.…”
Section: Introductionmentioning
confidence: 99%