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研究生:程彥嘉
研究生(外文):Yan-Jia Cheng
論文名稱:多輸入多輸出多載波分碼多重接取通訊系統之盲蔽式訊號源之分離與等化
論文名稱(外文):Blind Source Separation and Equalization for MIMO-MC-CDMA communication systems
指導教授:翁芳標翁芳標引用關係
指導教授(外文):Fang-Buau Ueng
學位類別:碩士
校院名稱:國立中興大學
系所名稱:電機工程學系所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:英文
論文頁數:63
中文關鍵詞:盲式等化多載波分碼多工存取的多輸入多輸出訊號分離Sato恒模數演算法恒模數根基改良型恒模數根基演算法改良型恒模數算法
外文關鍵詞:Blind equalizationMC-CDMA MIMO systemssource separationSatoCMACMA-basedMCMA
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在適應性盲訊號分離與等化中Godard 或恒模數演算法(CMA)是最著名及廣泛被使用的演算法。首先可經由分析得知在多重輸入多重輸出的系統中使用恒模數演法等化,可以恢復原輸入訊號,消除符號間干擾(ISI),及有效的壓抑源訊號間的干擾。此外,在有限脈衝響應(FIR)的系統滿足某些條件下,使用恒模數算法在有限脈衝響應的多輸入多輸出系統下(MIMO-CMA FIR)的等化器,可不用設定特定初值就能有效的恢復該系統的原輸入訊號。接著,提出恒模數系列的演算法在多載波分碼多工存取的多輸入多輸出(MC-CDMA MIMO)系統下的適應性盲訊號分離及等化處理。由分析可證實恒模數系列的演算法都可還原系統的所有輸入訊號,且在不用設定特定初值的情況下還原。另外,提出另一個接收端之架構,就是在等化器的前先將訊號做FFT轉換,在這所提到的恒模數系列的演算法有Sato 演算法、恒模數根基演算法CMA-based、改良型恒模數根基演算法和改良型恒模數演算法(MCMA)。恒模數根基演算法已被SHI Kun, and ZHANG Xudong [20]所提出,它改良了CMA,可在不須知道傳送端所使用何種調變下作運算,而所提出的改良型恒模數根基演算法是將恒模數根基演算法的不穩定性作改善且結合了MCMA的概念而提出。最後,經電腦摸擬後可證實分析及說明經恒模數系列的演算法在多載波分碼多工存取的多輸入多輸出(MC-CDMA MIMO)系統下的適應性盲訊號分離及等化後的效能。

The Godard or constant modulus algorithm (CMA) [44] is perhaps the best known and the most popular scheme for adaptive blind source separation and equalization. First analyze reveals that the MIMO-CMA equalizer is able to recover one of the input signals, remove the inter-symbol interference (ISI), and suppress the inter-source interference. Furthermore, for the MIMO finite impulse response (FIR) systems satisfying certain conditions, the MIMO-CMA FIR equalizers are able to perfectly recover one of the system inputs regardless of the initial settings. Then propose a family of CMA for adaptive blind source separation and equalization for Multi-Carrier Code Division Multiple Access (MC-CDMA MIMO) systems. Theoretical analysis proves that the families of constant modulus algorithms are able to recover all system inputs simultaneously regardless of the initial settings. The Family of CMA mentioned has these of Sato、modify CMA-based algorithm、CMA-based algorithm and modify constant modulus algorithm (MCMA), where the CMA-based algorithm has already been proposed by SHI Kun, and ZHANG Xudong [33], it has improved the CMA, that unknown transmitter signal of modulation, and the modify CMA-based algorithm improve the unstability of CMA-based algorithm. Finally, computer simulation examples are presented to confirm analysis and illustrate the effectiveness of A Family of Constant Modulus Algorithms for Blind Source Separation and Equalization in MC-CDMA MIMO Systems.

摘 要 i
Abstract ii
CONTENT iv
LIST OF FIGURES vi
Chapter 1 8
Introduction 8
Chapter 2 12
Concepts of MIMO OFDM-CDMA communication systems 12
2.1 Multiple-Input Multiple-Output (MIMO) 12
2.2 Orthogonal Frequency Division Multiplexing (OFDM) 14
2.3 OFDM combines MIMO 19
2.4 Code Division Multiple Access (CDMA) 20
2.4 OFDM-CDMA (MC-CDMA) 22
Chapter 3 26
System model 26
3.1 Multiple-Input Multiple-Output (MIMO) 26
3.2 MIMO-OFDM-CDMA 28
Chapter 4 37
Adaptive blind equalizers algorithms 37
4.1 Adaptive equalization 38
4.2 Blind Equalization 40
4.3 Blind Equalization Algorithms 40
4.3.1 Modify Sato Algorithm 42
4.3.2 Constant Modulus Algorithm (CMA) 44
4.3.3 Modified Constant Modulus Algorithm (MCMA) 45
4.3.4 New CMA-based 47
4.3.5 Modify CMA-based 48
4.4 Blind Equalization weight updates equation 49
Chapter 5 50
Simulations 50
Chapter 6 56
Conclusions 56
BIBLIOGRAPHY 57


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