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dc.contributor.authorChang, MXen_US
dc.contributor.authorSu, YTen_US
dc.date.accessioned2014-12-08T15:42:32Z-
dc.date.available2014-12-08T15:42:32Z-
dc.date.issued2002-04-01en_US
dc.identifier.issn0090-6778en_US
dc.identifier.urihttp://dx.doi.org/10.1109/26.996066en_US
dc.identifier.urihttp://hdl.handle.net/11536/28884-
dc.description.abstractThis paper proposes a robust pilot-assisted channel estimation method for orthogonal frequency division multiplexing (OFDM) signals in Rayleigh fading. Our estimation method is based on nonlinear regression channel models. Unlike the linear minimum mean-squared error (LMMSE) channel estimate, the method proposed does not have to know or estimate channel statistics like the channel correlation matrix and the average signal-to-noise ratio (SNR) per bit. Numerical results indicate that the performance of the proposed channel estimator is very close to the theoretical bit error propagation lower bound that is obtained by a receiver with perfect channel response information.en_US
dc.language.isoen_USen_US
dc.subjectequalizersen_US
dc.subjectfrequency-division multiplexingen_US
dc.subjectgain controlen_US
dc.titleModel-based channel estimation for OFDM signals in Rayleigh fadingen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.doi10.1109/26.996066en_US
dc.identifier.journalIEEE TRANSACTIONS ON COMMUNICATIONSen_US
dc.citation.volume50en_US
dc.citation.issue4en_US
dc.citation.spage540en_US
dc.citation.epage544en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000175044700006-
Appears in Collections:Conferences Paper


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