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研究生:劉涵一
研究生(外文):Han-Yi Liu
論文名稱:最佳決策法則用於STBC4x1MIMO無線接收機之設計
論文名稱(外文):Optimum Decision Rule applied to STBC 4x1 MIMO Wireless Receiver Design
指導教授:安仲芳
指導教授(外文):John AN
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:通訊與導航工程系
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:2009
畢業學年度:97
語文別:中文
論文頁數:66
中文關鍵詞:Bayes Decision RuleMIMOSTBCKroneckerRayleigh distributionJakes model
外文關鍵詞:Bayes Decision RuleSTBC-MIMOKroneckerJakes model
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本論文主要探討MIMO(Multiple-Input Multiple-Output) 的架構,在於使用貝氏決策法則(Bayes Decision Rule, BDR)針對MIMO通道的衰減作補償,以及改善天線間存在空間相關性係數時的通訊品質,並增加多路徑衰減通道的強建性(Robustness)。
驗證系統模擬的過程中,首先使用Jakes model產生多組具有獨立統計的瑞利分佈(Rayleigh distribution)的平緩衰減(Flat fading)通道模型,接著使用Kronecker矩陣之數學法則,改變發射端天線間相關性係數(correlation coefficient),產生相關性通道響應。傳送的時空區塊編碼(Space-Time Block Code, STBC),分為半速率(Half-rate)全分集(Full diversity)及全速率(Full-rate)半分集(Half diversity)兩種。
接收端使用貝氏決策法則產生的權重值,補償每一組通道響應,使輸出信號具有最小”風險(Risk)”準則。藉由錯誤率(Bit Error Rate, BER)分析及通道特徵值(Eiegn-value)分佈在MIMO 的架構下,使用QPSK調變技術的表現,以驗證系統對兩種編碼方式效能的改善。
This thesis mainly investigates the system performance of MIMO 4-by-1, incorporated with a Bayes decision rule. Apart from using conventional Space-Time Block Code and Multiple-Input Multiple-Output (STBC-MIMO) detection, this proposed scheme provides relatively contribution to the sub-channel enhancement and signal robustness in the spatially correlated multipath fading channel.
To validate our proposed scheme, the channel simulation using Jakes model for generating independently and identically distributed (i.i.d.) multipath fading channel and Kronecker channel matrix for spatially correlated antenna structure in the transmitter end are adopted to mimic the realistic MIMO channel. The STBC applied for this analysis includes the half-rate full-diversity and full-rate half-diversity schemes.
The Bayes decision rule is to generate the optimum weights which maximizes the most likely “closest” transmitted signal power to the received vector with a minimum ‘Risk’ criterion. The simulation results demonstrate remark performance improvement in the Bit-Error-Rate and cumulative eigen-distribution using this optimum weights.
第一章 緒論 1
1.1 背景簡介 1
1.2 論文大綱 2
第二章 空間多工系統架構 3
2.1 MIMO天線系統簡介 3
2.2 STBC介紹 4
2.3 Orthogonal STBC介紹 5
2.3.1 半速率(Half-rate)全分集(Full diversity)編碼 6
2.3.2 全速率(Full-rate)半分集(Half diversity)編碼 7
第三章 貝氏決策法則結合接收機之設計 9
3.1貝氏定理 9
3.2 貝氏決策法則應用 9
3.3 貝氏決策法則與MIMO 天線接收機之結合 12
3.4 相關性通道之建立 14
3.5 貝氏決策法則之權重值 17
第四章 數學模型分析 22
4.1.1 矩陣對角化解碼 24
4.1.2 矩陣對角化解碼結合貝氏決策法則 25
4.2 全速率編碼偵測方式 27
4.2.1 矩陣對角化解碼 27
4.2.2 矩陣對角化解碼結合貝氏決策法則 30
4.3 權重因子 33
4.3.1 半速率編碼之權重因子 33
4.3.2 全速率編碼之權重因子 34
第五章 系統模擬與效能評估 35
5.1 系統模擬組態與參數設定 35
5.2 特徵值CDF分析 38
5.3 錯誤率分析 48
第六章 結論 55
參考文獻 57
[1] X. N. Tran, H. C. Ho, T. Fujino and Y. karasawa., “Performance of Detectors for Combined STBC-SM system”, proceedings of ISAP2007, niigata, Japan.

[2] Simon Haykin, “Communication System 4th Edition”, John Wiley & Sons, 2001

[3] Kermoal, J.P.; Schumacher, L.; Pedersen, K.I.; Mogensen, P.E.; Frederiksen, F., “A Stochastic MIMO Radio Channel Model With Experimental Validation”, Selected Areas in Communications, IEEE Journal on Volume 20, Issue 6, Aug. 2002 Page(s): 1211 - 1226

[4] S. M. Alamouti, “A Simple Transmit Diversity Technique for Wireless Communication”, Selected Areas in Communications, IEEE Journal on Volume 16, Issue 8, Oct. 1998 Page(s): 1451 - 1458

[5] H. Jafarkhani, “A Quasi-Orthogonal Space-Time Block Code”, Communications, IEEE Transactions on Volume 49, Issue 1, Jan. 2001 Page(s): 1 - 4

[6] Tarokh, V.; Jafarkhani, H.; Calderbank, A.R., “Space-Time Block Codes from Orthogonal Designs”, Information Theory, IEEE Transactions on Volume 45, Issue 5, July 1999 Page(s): 1456 - 1467

[7] L. A. Dalton and C. N. Georghiades, “A Full-Rate, Full-Diversity Four-Antenna Quasi-Orthogonal Space-Time Block Code”, IEEE Transactions on Wireless Communications, vol. 4, no. 2, March 2005

[8] H. Jafarkhani, “Space-Time Coding Theory and Practice”, Gambridge, p.110 - 125, 2005

[9] Lonnie C. Ludeman, “Random Processes Filtering, Estimation, and Detection”, Wiley, p437 - p441

[10] W. C. Jakes, Ed., “Microwave Mobile Communications”, New York, Wiley, 1974

[11] Carol Ash., “The Probability Tutoring Book: An Intuitive Course for Engineers and Scientists (and Everyone Else!), Revised Printing”, November 1996, Wiley-IEEE Press

[12] 巫淳肇,“空間多工之MIMO天線系統使用Bayes決策法則之效能改善分析”碩士論文,國立台灣海洋大學通訊與導航工程系,民97[2008]

[13] K. Yu, M. Bengtsson, B. Ottersten, D. McNamara, P. Karlsson, and M.Beach, “Second order statistics of NLOS indoor MIMO channels based on 5.2 GHz measurements”, in Proc. GLOBECOM’01, San Antonio, Texas, USA, Nov. 2001, pp.156 - 160

[14] G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. Baltimore, MD : The Johns Hopkins Univ. Press, 1996

[15] John F. An , “Performance Enhancement of Space-Time MIMO Sysem using Optimum Decision Algorithm”, Proceedings of IEEE 68th Vehicular Technology Conference (VTC 2008-Fall), Calgary, Canada, 21-24 September 2008(EI), Page(s): 1 - 5
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