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dc.contributor.author陳俊勝en_US
dc.contributor.authorJien-Sheng Chenen_US
dc.contributor.author謝世福en_US
dc.contributor.authorShih-Fu Hsiehen_US
dc.date.accessioned2014-12-12T01:44:43Z-
dc.date.available2014-12-12T01:44:43Z-
dc.date.issued2003en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009113541en_US
dc.identifier.urihttp://hdl.handle.net/11536/46279-
dc.description.abstract在有限頻寛下,增加頻寛使用效率是重要的事情。為了消除IBI和ICI,傳統的正交分頻多工調變系統需要使用護衛間隔(GI),這會使得頻寬使用效率降低。在本論文中,我們採用高頻寬效率的正交分頻多工調變系統。並且提出通道追蹤架構,它可以在時變通道中做通道估計。這個架構的表現是比適應性等化器來得好,但演算法的複雜度是比較高的。為了解決追踨速度不夠快的問題,我們提出了平衡收斂步伐控制方法。這方法將有助於通道追蹤架構獲得更好的均方誤差(MSE)。在電腦模擬中將會證實我們的推導以及提出的方法。zh_TW
dc.description.abstractConventional OFDM system needs a guard interval to cancel IBI and ICI. But, efficiency of bandwidth usage will be reduced. In this thesis, we adopt the bandwidth-efficient OFDM (BE-OFDM) system, which can adjust efficiency of bandwidth usage. A channel tracking structure is proposed for channel estimation in time variant channel. Its performance is better than the adaptive equalizer, but its all structure is more complex. To solve the slow tracking problem, we propose an balanced step-size control adaptive method with improved mean square error. Finally, our derivations and proposed methods will be validated in computer simulations.en_US
dc.language.isoen_USen_US
dc.subjectOFDMzh_TW
dc.subject頻寬zh_TW
dc.subjectBandwidthen_US
dc.subjectefficienten_US
dc.subjectefficiencyen_US
dc.subjectOFDMen_US
dc.subjectIBIen_US
dc.subjectICIen_US
dc.subjectchannel estimationen_US
dc.subjectDFEen_US
dc.subjectone-tapen_US
dc.subjectequalizeren_US
dc.subjectequalizationen_US
dc.subjectISIen_US
dc.subjectLMSen_US
dc.subjectRLSen_US
dc.subjectAdaptive equalizeren_US
dc.subjecttrackingen_US
dc.subjecttrainingen_US
dc.subjectCPen_US
dc.subjectguard intervalen_US
dc.subjectcyclic prefixen_US
dc.title高頻寬效率OFDM系統之通道估計與等化zh_TW
dc.titleChannel Estimation and Equalization for Bandwidth-Efficient OFDM System in Time Invariant Channelen_US
dc.typeThesisen_US
dc.contributor.department電信工程研究所zh_TW
Appears in Collections:Thesis


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