Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Chee-Hyun | - |
dc.contributor.author | Lee, Soojeong | - |
dc.contributor.author | Chang, Joon-Hyuk | - |
dc.date.accessioned | 2021-08-02T17:55:37Z | - |
dc.date.available | 2021-08-02T17:55:37Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2015-07 | - |
dc.identifier.issn | 1751-8628 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/24941 | - |
dc.description.abstract | In diverse engineering problems including wireless communications, the estimate of the signal-to-noise ratio (SNR) is required. In this study, the authors develop a shrinkage-based SNR estimator in the data-aided and non-data-aided schemes for higher M-ary phase-shift-keying (M >= 8) and quadrature amplitude modulations. The observed Cramer-Rao lower bound is used as the variance of the expectation maximisation estimator to determine the optimal shrinkage factor. Simulation results show that the normalised mean-squared error of the proposed method is lower than that of the expectation maximisation method for low and moderate SNR conditions. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
dc.title | Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chang, Joon-Hyuk | - |
dc.identifier.doi | 10.1049/iet-com.2014.0943 | - |
dc.identifier.scopusid | 2-s2.0-84937211939 | - |
dc.identifier.wosid | 000357948500005 | - |
dc.identifier.bibliographicCitation | IET COMMUNICATIONS, v.9, no.11, pp.1388 - 1395 | - |
dc.relation.isPartOf | IET COMMUNICATIONS | - |
dc.citation.title | IET COMMUNICATIONS | - |
dc.citation.volume | 9 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1388 | - |
dc.citation.endPage | 1395 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | AIDED SNR ESTIMATION | - |
dc.subject.keywordPlus | MAXIMUM-LIKELIHOOD | - |
dc.subject.keywordPlus | VARIANCE | - |
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