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研究生:王璟瀚
研究生(外文):Jinghan Wang
論文名稱:多天線系統中的多用戶偵測技術
論文名稱(外文):Multi-user Detection Techniques in Multi-antenna Systems
指導教授:蘇炫榮
指導教授(外文):Hsuan-Jung Su
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:電信工程學研究所
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:2004
畢業學年度:92
語文別:英文
論文頁數:90
中文關鍵詞:最大訊雜比法分碼多工干擾消除法子空間追蹤可適性猜測技術多天線系統分集效應多輸入多輸出最大比例結合陣列處理空時編碼閉迴路最小輸出能量法最小平均誤差平方法貝爾實驗室垂直空時演算法多用戶偵測
外文關鍵詞:array processingminimum output-energymaximum SNRsubspace trackingmultiuser detectionmaximum ratio combiningMMSEblind adaptationCDMAV-BLASTspatial diversityMIMOMulti-antennaspace-time codingclose-loopzero-forcing
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在本篇論文中,首先討論在單一用戶無線通訊的環境下,若使用多天線系統做為傳送與接收的架構,如何做適當的訊號處理以達到最佳的通訊效能。其次,討論在一個分碼多工(CDMA)的多用戶系統中,如何偵測並抑制其他用戶的干擾。最後,提出一個新概念:多天線的架構本身也有能力分離用戶間的訊號。本文將印證這個想法,並說明其原理。
In the thesis, we discuss several multi-antenna techniques in a wireless communication system. First, we consider the communication between a single transmitter and a single receiver by utilizing multiple antennas. Next, we discuss the multiuser detection (MUD) techniques in a CDMA system, and then we propose that the multiuser detection techniques can also be utilized in a multi-antenna system.
Abstract Ⅰ
Contents Ⅲ
List of Figures Ⅴ
List of Tables Ⅸ
Chapter 1 Introduction 1
1.1 Generations of Mobile Communication Systems 1
1.2 Key Techniques in Wireless Communication 2
1.3 Concept of Multi-antenna Techniques 3
1.4 Concept of Multiuser Detection 4
1.5 Motives and Organization of the Thesis 5
Chapter 2 Wireless Channel Models 7
2.1 Analysis of a Wireless Channel 7
2.2 The AWGN Channel 7
2.3 The Rayleigh Fading Channel 9
2.4 The Rician Fading Channel 13
2.5 The Multipath Fading Channel 15
2.6 The MIMO Channel 16
Chapter 3 Multi-antenna Transceivers 17
3.1 Classification of Multi-antenna Systems 17
3.2 The SIMO Systems 17
3.2.1 Selection Combining 18
3.2.2 Equal Gain Combining 19
3.2.3 Maximum Ratio Combining 20
3.2.4 Performance Analysis of the SIMO Systems 22
3.3 The MISO Systems 24
3.3.1 Space-Time Block Coding 24
3.3.2 The Close-loop Method 29
3.4 The MIMO Systems 36
3.4.1 Array Processing 36
3.4.2 V-BLAST 43
3.4.3 Array Processing with Space-Time Coding 46
Chapter 4 Multiuser Detection Techniques 53
4.1 MUD Techniques in a CDMA System 53
4.1.1 Optimum MUD 53
4.1.2 Typical MUD 54
4.1.3 Blind MUD 61
4.1.4 Blind Adaptive MUD 72
4.2 MUD Techniques in Multi-antenna Systems 77
4.2.1 MUD in a SIMO System 77
4.2.2 MUD in a MIMO System 82
4.2.3 Blind Adaptive Multi-antenna MUD 84
4.3 Comparison between CDMA MUD and Multi-antenna MUD 86
Chapter 5 Conclusions and Future Works 87
References 89
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[9] 3GPP TSG RAN, Spatial Model for MIMO Simulation (Release 6), TR.25.996 V6.1.0, Sep 2003.
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[11] S. M. Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE J. Sel. Areas Comm., vol. 16, pp. 1451-1458, Oct. 1998.
[12] V. Taroakh, N. Seshadri, and A. R. Calderbank, “Space-time Codes for High Data Rate Wireless Communication: Performance Criterion and Code Construction,” IEEE Trans. Inform. Theory, vol. 44, no. 2, pp. 744-765, 1998.
[13] A. Hottinen and R. Wichman, “Transmit diversity using filtered feedback weights in the FDD/WCDMA system,” in Proc. Int. Zurich Sem. Comm., Zurich, Switzerland, February 2000.
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[19] S. Verdu, Multiuser Detection, Cambridge, UK: Cambridge Univ. Press, 1998.
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[22] U. Madhow and M. Honig, “MMSE interference suppression for direct-sequence spread spectrum CDMA,” IEEE Trans. Comm., vol. 42, pp. 3178-3188, Dec. 1994.
[23] 鍾佩勳, Multiuser Detection for WCDMA systems, 國立台灣大學電信工程學研究所 碩士論文, 2002.
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[26] S. Haykin, Adaptive Filter Theory, Prentice Hall, 4th edition, 2002.
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