臺灣博碩士論文加值系統

無線中繼(relaying)網路透過分散式佈置中繼節點的幫助能實現空間分集(spatial diversity)，而傳送端預編碼技術能根據通道狀態資訊(channel state information, CSI)調整傳送訊號藉以提高訊號品質。因此本論文考慮在放大轉發式(amplify-and-forward, AF) MIMO多中繼(multiple relays)節點通訊系統之聯合收發機設計。統合來源節點預編碼器(precoder)與多中繼節點加權(weighting)矩陣以及目的節點解碼器(decoder)之設計將其制定成一無限制條件下之最佳化的問題，且基於最小均方誤差(minimum mean-square error, MMSE)準則聯合處理解碼矩陣及合併使用最速下降法(steepest descent, SD)搜尋區域最佳預編碼器以及各中繼加權矩陣。並將通道狀態資訊不完整以及傳送/接收兩端天線陣列皆具有相關性情況下考慮於設計問題之中發展出強健型聯合收發機設計。最後，電腦模擬結果方面驗證了將通道狀態資訊誤差項考慮於設計問題之中之強健型聯合收發機設計比沒有考慮到通道誤差而將估測到的通道當成實際通道的非強健型聯合收發機設計方法之表現來得優異。

In the thesis, the source/relays-precoders and the destination-equalizer combined optimization is proposed in a dual-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) multiple-relay system with Gaussian random and correlated channel uncertainties in both hops. With the aid of taking the correlated channel uncertainties into account, a robust transceiver joint optimization design is developed based on the minimum mean-squared error (MMSE) criterion under individual power constraints at the source and the relays. Simulation results demonstrate that the robust multiple relays/transceiver joint design architecture for an AF-MIMO system equipped with multiple relays outperforms substantially the non-robust transceiver design that assumes estimated channels as actual channels.

誌謝辭 i
中文摘要 ii
英文摘要 iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章 導論 1
1.1 前言 1
1.2 研究動機 3
1.3 論文架構 4
第二章 無線中繼通訊系統 5
2.1 合作式通訊基本概念 5
2.2 放大轉發式中繼對策 7
2.3 解碼轉發式中繼對策 8
2.4 預編碼技術 9
2.4.1 傳統MIMO系統 9
2.4.2 放大轉發式MIMO中繼系統 12
第三章 放大轉發式MIMO多中繼通訊系統 14
3.1 系統模型 14
3.2 空間相關性衰減通道模型 17
3.2.1 康瑞克模型簡介 17
3.2.2 康瑞克模型推導 17
3.3 完整通道模型 19
3.4 問題公式化 21
3.5 推導和證明 23
第四章 非強健型聯合收發機設計 26
4.1 原理 26
4.2 基於最速下降方法之非強健型聯合收發機設計 27
4.3 其他波束成型技術 33
4.3.1 匹配濾波器 33
4.3.2 最小均方誤差濾波器 34
4.4 推導和證明 35
4.4.1 推導(4.2)-(4.3)式 35
4.4.2 推導(4.9)式 37
4.4.3 推導(4.16)式 38
第五章 強健型聯合收發機設計 40
5.1 原理 40
5.2 基於最速下降方法之強健型聯合收發機設計 41
5.3 推導和證明 48
5.3.1 推導(5.2)-(5.3)式 48
5.3.2 推導(5.9)式 50
5.3.3 推導(5.17)式 52
第六章 電腦模擬與分析 54
6.1 電腦模擬環境參數設定 54
6.2 robust與non-robust SD在不同通道估測誤差的模擬與分析 55
6.3 robust SD與其他不同方法模擬比較 65
第七章 結論與未來展望 71
參考文獻 73

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