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研究生:陳煒琳
研究生(外文):Wei-Lin Chen
論文名稱:多輸入多輸出正交分頻多工系統之訊號偵測和解碼的遞迴式錯誤補償
論文名稱(外文):Iterative Error Compensation in Detection and Decoding of MIMO-OFDM Systems
指導教授:郝敏忠
指導教授(外文):Miin-Jong Hao
學位類別:碩士
校院名稱:國立高雄第一科技大學
系所名稱:電腦與通訊工程所
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:2008
畢業學年度:96
語文別:英文
論文頁數:64
中文關鍵詞:迫零法最小均方誤差遞迴式偵測解碼多輸入多輸出系統V-BLASTQR分解
外文關鍵詞:MMSEIDDMIMOV-BLASTQRZF
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傳統的V-BLAST信號偵測,如迫零法(zero forcing),可有效的偵測信號。若使用QR演算法可以減低系統上的運算量,但已估測的信號無法完全消除接收信號的干擾項導致信號偵測錯誤延伸的效應,因此我們導入一個接收端上使用偵測信號的遞迴式錯誤補償的方法來補償QR演算法所產生的錯誤延伸之效應。我們藉著估測和未估測信號之前的差異找出最小平方誤差,並且以遞迴式的方法來補償錯誤延伸所產生的誤差。透過數值模擬的分析結果,可以證實此系統可有效的補償錯誤延伸所產生的錯誤,而達到QR演算法更高的效益。
The conventional V-BLAST with Zero Forcing (ZF) used to detect signal available in MIMO OFDM systems. When performing QR algorithm, the consumption computation of systems can be reduced. But the drawback of QR algorithm is the effect of error propagation due to the back cancellation detector can not cancel entire interference in the received signal. Hence, we try to derive an iterative detect and decoding systems to mitigate the effect of error propagation by iterative compensation. By using the undetected and detected signals to find the minimum mean square error (MMSE) and perform the iterative error compensation to mitigate the interference of error propagation. Finally, we can obvious the performance of QR algorithm with iterative compensation better than original system.
Abstract in Chinese . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i
Abstract in English . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii
Acknowledgment in Chinese . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii
Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv
List of Figures and Tables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi
Chapter 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-1
Chapter 2 System Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-1
2.1 Structure of Multiple-Input Multiple-Output System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-1
2.1.1 MIMO System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-1
2.2 Basic Principle of Space-Time Block Codes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-3
2.2.1 Space-Time Block Codes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-4
2.3 Receiver Detection for MIMO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-6
2.3.1 Layered Space-Time Codes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-6
2.3.2 Signal Detection Process for V-BLAST . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-7
2.3.3 Turbo-MIMO for Wireless Communication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-11
2.4 Orthogonal Frequency Division Multiplexing (OFDM) . . . . . . . . . . . . . . . . . . . . . . . . . . 2-13
Chapter 3 Algorithm for Error Propagation and Reduction and Data Detection Improvement in MIMO-OFDM System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-1
3.1 System Model of MIMO-OFDM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-2
3.2 Improving V-BLAST with Error Compensation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-5
3.2.1 Enhanced V-BLAST . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-5
3.2.2 Data Detection with QR Decomposition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-11
3.3 Data Detection with Precoding QR Decomposition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-12
3.4 Iterative Detection and Decoding Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-15
Chapter 4 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-1
4.1 Simulation Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-1
4.2 Performance Simulation of the Detection Algorithms for MIMO . . . . . . . . . . . . . . . . . . . 4-1
4.3 Performance Simulation of the Detection Algorithms for IDD . . . . . . . . . . . . . . . . . . . . . 4-5
Chapter 5 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-1
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R-1
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