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Error Probability Expressions for Frame Synchronization Using Differential Correlation

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dc.contributor.authorKim, Sangtae-
dc.contributor.authorKim, Jaewon-
dc.contributor.authorShin, Dong-Joon-
dc.contributor.authorChang, Dae-Ig-
dc.contributor.authorSung, Wonjin-
dc.date.accessioned2022-12-20T10:53:39Z-
dc.date.available2022-12-20T10:53:39Z-
dc.date.issued2010-12-
dc.identifier.issn1229-2370-
dc.identifier.issn1976-5541-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/173399-
dc.description.abstractProbabilistic modeling and analysis of correlation metrics have been receiving considerable interest for a long period of time because they can be used to evaluate the performance of communication receivers, including satellite broadcasting receivers. Although differential correlators have a simple structure and practical importance over channels with severe frequency offsets, closed-form expressions for the output distribution of differential correlators do not exist. In this paper, we present detection error probability expressions for frame synchronization using differential correlation, and demonstrate their accuracy over channel parameters of practical interest. The derived formulas are presented in terms of the Marcum Q-function, and do not involve numerical integration, unlike the formulas derived in some previous studies. We first determine the distributions and error probabilities for single-span differential correlation metric, and then extend the result to multi-span differential correlation metric with certain approximations. The results can be used for the performance analysis of various detection strategies that utilize the differential correlation structure.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisher한국통신학회-
dc.titleError Probability Expressions for Frame Synchronization Using Differential Correlation-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.1109/JCN.2010.6388305-
dc.identifier.scopusid2-s2.0-79251626038-
dc.identifier.wosid000286292500008-
dc.identifier.bibliographicCitationJournal of Communications and Networks, v.12, no.6, pp 582 - 591-
dc.citation.titleJournal of Communications and Networks-
dc.citation.volume12-
dc.citation.number6-
dc.citation.startPage582-
dc.citation.endPage591-
dc.type.docTypeArticle-
dc.identifier.kciidART001518984-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusPOST DETECTION INTEGRATION-
dc.subject.keywordPlusFREQUENCY-OFFSET-
dc.subject.keywordPlusCODE ACQUISITION-
dc.subject.keywordPlusCHANNELS-
dc.subject.keywordPlusOPTIMUM-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusMODULATION-
dc.subject.keywordPlusALGORITHMS-
dc.subject.keywordPlusDVB-S2-
dc.subject.keywordPlusSUM-
dc.subject.keywordAuthorDifferential correlation-
dc.subject.keywordAuthorfalse alarm rate-
dc.subject.keywordAuthorframe synchronization-
dc.subject.keywordAuthormis-detection probability-
dc.subject.keywordAuthorsatellite transmission-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6388305-
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