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dc.contributor.authorYeh, YHen_US
dc.contributor.authorChen, SGen_US
dc.date.accessioned2014-12-08T15:25:55Z-
dc.date.available2014-12-08T15:25:55Z-
dc.date.issued2004en_US
dc.identifier.isbn0-7803-8523-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/18366-
dc.description.abstractAlthough wireless OFDM systems are robust against frequency-selective fading and ISI effect, their relatively long symbol lengths are vulnerable to time-selective fading and ICI effect in mobile environments due to Doppler spread. However, commonly a time-selective fading channel is linearly time-varying from symbol to symbol, for the existing wireless communication systems and vehicle speed limits. The linear property greatly reduces channel parameters. Based on this condition, we propose an ICI-reduction method. The ICI-reduction method first solves the linear channel parameters of each path, and then combines with a decision-feedback method to predict the ICI values from the estimated channel information, followed by the subtraction of the ICI components. Further, the proposed algorithm adopts an iterative ICI refinement technique to enhance the ICI prediction accuracy. The simulation results show that the new method can effectively reduce the ICI and error floor of symbol error rate. The proposed algorithm is further simplified. The simplified version still maintains almost the same performance as before, with a much reduced complexity.en_US
dc.language.isoen_USen_US
dc.subjectOFDMen_US
dc.subjecttime-selective fading conditionen_US
dc.subjectinter-carrier interferenceen_US
dc.subjectinter-carrier interference cancellationen_US
dc.titleReduction of Doppler-induced ICI by interference predictionen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2004 IEEE 15TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-4, PROCEEDINGSen_US
dc.citation.spage653en_US
dc.citation.epage657en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000225483300127-
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