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請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/4828
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dc.contributor.authorChi-Min Lien_US
dc.contributor.authorYong-Lin Shuen_US
dc.contributor.authorPao-jen Wangen_US
dc.date.accessioned2020-11-19T02:54:58Z-
dc.date.available2020-11-19T02:54:58Z-
dc.date.issued2019-05-
dc.identifier.issn2162-2248-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/4828-
dc.description.abstractThis article presents a synchronization method for the LTE system to determine time offset (TO) and fractional carrier frequency offset (FCFO) in multipath fading channels. With coarse and fine detection steps, the proposed TO estimation method exhibits better mean-square error performance and at least 80% lower computational complexity than conventional methods. The proposed method can detect the channel length and uses the undistorted cyclic prefix region to detect FCFO. Results show that the proposed FCFO detection method performs better than conventional methods.en_US
dc.language.isoenen_US
dc.relation.ispartofIeee Consumer Electronics Magazineen_US
dc.subjectEstimationen_US
dc.subjectSynchronizationen_US
dc.subject3GPPen_US
dc.subjectOFDMen_US
dc.subjectLong Term Evolutionen_US
dc.subjectWireless communicationen_US
dc.subjectFading channelsen_US
dc.titleSynchronization for LTE-A System Downlinken_US
dc.typejournal articleen_US
dc.identifier.doi10.1109/mce.2019.2892504-
dc.identifier.isiWOS:000464134300008-
dc.relation.journalvolume8en_US
dc.relation.journalissue3en_US
dc.relation.pages40 - 43en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypejournal article-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Communications, Navigation and Control Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
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