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dc.contributor.authorLin, WJen_US
dc.contributor.authorLin, TTen_US
dc.contributor.authorHuang, CCen_US
dc.date.accessioned2014-12-08T15:39:07Z-
dc.date.available2014-12-08T15:39:07Z-
dc.date.issued2004-06-01en_US
dc.identifier.issn0916-8516en_US
dc.identifier.urihttp://hdl.handle.net/11536/26736-
dc.description.abstractIn this paper, we proposed a novel two-stage channel estimation (2S-CE) method. In contrast to conventional channel estimation methods, this method makes the maximum use of the information contributed by the known data in every transmission burst. In the first stage, the least-squares (LS) algorithm was used to estimate the channel impulse response (CIR) based on the normal training sequence. Then the maximum channel memory was estimated and used to locate the uncorrupted data in the guard interval. In the second stage, the uncorrupted data together with the normal training sequence were sent to the LS algorithm again to obtain the fine-tuned CIR. To verify the efficiency of the proposed 2S-CE method, both a theoretical analysis and computer simulations have been done. Computer simulation results confirm the analysis results and demonstrate that the proposed 2S-CE method outperforms a conventional single-stage channel estimation method.en_US
dc.language.isoen_USen_US
dc.subjecttwo-stage channel estimationen_US
dc.subjectleast-squaresen_US
dc.subjectcorrelationen_US
dc.subjectmaximum channel memoryen_US
dc.subjectmean square erroren_US
dc.titleA novel two-stage channel estimation method for wireless communicationsen_US
dc.typeArticleen_US
dc.identifier.journalIEICE TRANSACTIONS ON COMMUNICATIONSen_US
dc.citation.volumeE87Ben_US
dc.citation.issue6en_US
dc.citation.spage1479en_US
dc.citation.epage1486en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000221983300005-
dc.citation.woscount1-
Appears in Collections:Articles