博碩士論文 105523028 完整後設資料紀錄

DC 欄位 語言
DC.contributor通訊工程學系zh_TW
DC.creator黃楷捷zh_TW
DC.creatorKai-Chieh Huangen_US
dc.date.accessioned2018-8-21T07:39:07Z
dc.date.available2018-8-21T07:39:07Z
dc.date.issued2018
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=105523028
dc.contributor.department通訊工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract這篇論文探討了在多重輸入多重輸出之正交分頻多工系統中利用最大可能性準則做載波頻率偏移和通道響應的聯合估測。初步介紹此系統的訊號模型以及基於最大可能性的聯合估測器推導,此演算法可以分成兩大部分,第一部分是利用旋轉觀念對載波頻率偏移作初始的估測,再利用初始結果設計頻域等化器。第二部分則是利用疊代的觀念來找出真正最大的頻率波峰,使載波頻率偏移估測的效果能更好。此疊代演算法可以正確收斂至全域最大值而不是區域最大值,且與格子搜尋法相比減少計算複雜度,模擬效能表現出來在均方誤差精確度上也貼近於克拉瑪界線。zh_TW
dc.description.abstractIn this thesis, we present a joint carrier frequency offset (CFO) and frequency selective channel response estimation in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems. The signal model of MIMO-OFDM is introduced and the joint estimator is derived based on the maximum likelihood criterion. The proposed algorithm can be separated into two major portions. In the first part of proposed algorithm, we estimate an initial CFO by using the rotation concept and utilize the result to design the frequency domain equalizer. The second part is to employ iterative concept to find the true frequency peak for better CFO estimation performance. The proposed method can surely converge to the global maximum solution step by step. In addition, the computation complexity is less than the grid-search method. The MSE performance of the proposed algorithm shown in the simulation result is close to the Cramer-Rao Lower bound (CRB).en_US
DC.subject聯合最大可能性估測zh_TW
DC.subject載波頻率偏移估測zh_TW
DC.subject多輸入多輸出系統zh_TW
DC.subject正交分頻多工系統zh_TW
DC.subject通道估測zh_TW
DC.title多重輸入多重輸出之正交分頻多工系統中對聯合載波頻率和通道估測的疊代演算法設計zh_TW
dc.language.isozh-TWzh-TW
DC.titleMaximum-Likelihood-based Iteration Algorithm Design for Joint CFO and Channel Estimation in MIMO-OFDM Systemsen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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