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論文名稱 Title |
應用於雙向合作式網路之半盲式通道估測與預編碼技術 Semi-Blind Channel Estimation and Precoding Scheme in Two-Way Multi-Relay Networks |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
74 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2017-06-23 |
繳交日期 Date of Submission |
2017-06-28 |
關鍵字 Keywords |
合作式網路、通道估測、頻率選擇性衰減通道、低複雜度、預編碼技術 low-complexity, semi-blind channel estimation, Two-way relay networks, asymptotic analysis, precoding design, frequency-selective fading channels |
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統計 Statistics |
本論文已被瀏覽 5669 次,被下載 268 次 The thesis/dissertation has been browsed 5669 times, has been downloaded 268 times. |
中文摘要 |
本論文提出一應用於雙向合作式網路之低複雜度預編碼技術與半盲式通道估測法,可應用於多個中繼站之雙向合作式網路,以及頻率選擇性衰減通道。本論文提出之預編碼技術係利用旋轉矩陣為基礎,應用其相關特性達到低複雜度的編(解)碼程序;透過接收訊號之二階統計特性,進行綜合的通道脈衝響應(composite channel impulse response)估測,同時結合少量的訓練符號,進而消除直接鏈路(direct link)所衍生的估測不明確性(estimation ambiguity);本論文同時分析該半盲式通道估測器於兩個漸進式情況(asymptotic case)之估測效能,兩漸進式情況分別假設無限多個資料符號,以及非常高的訊雜比(signal-to-noise ratio),兩漸進式分析將分別得到此半盲式通道估測器,於非完美直接鏈路通道估測下,或具有統計誤差下之效能分析,此分析結果亦透過電腦模擬獲得驗證;模擬結果顯示估測效能與訊雜比及資料長度成反比,訊雜比越高或資料長度越長,將得到越好的估測效能。 |
Abstract |
Consider amplify-and-forward two-way relay networks with multiple relays and frequency selective fading channels, a low-complexity precoding scheme and semi-blind channel estimation method are proposed in this dissertation. Precoding is performed using a rotation-based matrix and decoding is low-complexity and easily scalable to the number of relays and/or the channel length since the decoding process requires only a circulant shifting of the received blocks. The composite channel impulse response of each source-relay-destination link is estimated based on the second-order statistics of the received signals. The ambiguity in the proposed channel estimates caused by the channel information of the direct link is eliminated using a small number of training blocks. The accuracy of the proposed semi-blind channel estimates is examined by deriving the mean square error of the channel estimates for two asymptotic cases, namely an infinite number of data blocks and a high signal-to-noise ratio (SNR) regime. The two cases thus provide a useful insight into the effects on the estimation performance of imperfect direct link information and statistical errors of the ensemble correlations, respectively. The asymptotic analyses are confirmed by the simulation results, which show that the normalized mean square error of the channel estimates varies inversely with the SNR and the number of data blocks. |
目次 Table of Contents |
致謝 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i 中文摘要 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v Chapter 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Chapter 2 System Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Chapter 3 Precoding Design at Relays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Chapter 4 Semi-Blind Channel Estimation. . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.1 LS Channel Estimation of Direct Links. . . . . . . . . . . . . . . . . . . . 23 4.2 Semi-Blind Channel Estimation of Source-Relay-Destination Links. . 24 Chapter 5 Asymptotic Analysis of Semi-Blind Channel Estimates . . . . . . . 27 5.1 Asymptotic analysis as Nd . . . . . . . . . . . . . . . . . . . . . . . . . 28 5.2 Asymptotic analysis at high SNR . . . . . . . . . . . . . . . . . . . . . . . . 31 Chapter 6 Computer Simulations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 Chapter 7 Conclusions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 Appendices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 A Proof of Property 4 of Lemma 1 . . . . . . . . . . . . . . . . . . . . . . . . . 50 B Proof of Property 5 of Lemma 1 . . . . . . . . . . . . . . . . . . . . . . . . . 52 C Proof of Property 6 of Lemma 1 . . . . . . . . . . . . . . . . . . . . . . . . . 53 Abbreviations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 |
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