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研究生： 許育維
Yuwei Hsu
論文名稱： 非同調空時渦輪碼
Noncoherent Space-Time Turbo Code
指導教授： 魏瑞益
Ruey-Yi Wei
口試委員:
學位類別： 碩士
Master
系所名稱： 資訊電機學院 - 通訊工程學系
Department of Communication Engineering
畢業學年度： 94
語文別： 英文
論文頁數： 86
中文關鍵詞： 空時碼 、渦輪碼 、串接碼 、反覆解碼 、反覆解調
外文關鍵詞： iterative decoding, concatenated code, space-time code, turbo code, iterative demodulation
相關次數： 點閱：9  下載：0 
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    • 在無線通訊的環境當中，空時碼的一直是一個非常熱門的方向。對於非同調的系統而言，對於效能的改善是非常的迫切的。近年來，一種串接區塊時空碼與渦輪碼被提出。它可以在很低的訊雜比下有效率的達到很好的效能。在這篇論文之中，一個有彈性的空時調變技術被導入使用於不同長度的同調區間。而我們不僅模擬且比較了對於此調變方式的各種反覆解碼/反覆解調的檢測演算法，還提出了適用於當傳送框架的長度增長的時候，可以有好的效能以及低複雜度之演算法。

    The space-time codes are popular topics in the MIMO wireless communication. The research of improving the performance of the noncoherent system is very important. Recently, the scheme that concatenates space-time block coding with turbo codes is proposed, which can efficiently achieve the good performance for the noncoherent block fading channels. In this thesis, a flexible space-time modulation scheme is employed for the different coherent time. Furthermore, we compare and propose several detection algorithms for iterative decoding and demodulation in the receiver side.

    CHAPTER 1 INTRODUCTION 1 CHAPTER 2 NONCOHERENT TURBO-MIMO COMMUNICATION SYSTEM 4 2.1 Channel Model 4 2.2 Review of Noncoherent Space-Time Block Codes 7 2.2.1 Unitary Space-Time Modulation 7 2.2.2 Training Codes 9 2.3 Turbo Codes 11 2.3.1 Encoding 11 2.3.2 Decoding 13 2.4 Noncoherent Turbo Coded Space-Time Block Codes 15 2.4.1 Encoding 15 2.4.2 Iterative Decoding 16 2.4.3 Iterative Demodulation-Decoding 20 CHAPTER 3 ALGORITHMS FOR DETECTION AND DEMODULATION 31 3.1 Applying The Training Codes 31 3.2 Coherent Detection by Channel Estimation 34 3.3 Max-Log-Map Detection 39 3.4 Near-Optimal Low-Complexity Noncoherent Iterative Receiver 42 3.5 Decision Feedback Algorithm 48 CHAPTER 4 COMPARISONS AND SIMULATION RESULTS 54 4.1 Simulation Results for Several Schemes 54 4.2 Turbo Coded USTM 54 4.3 Turbo Coded Training Codes 56 4.3.1 Noncoherent MAP Detection 56 4.3.2 Coherent Detection by Training Symbols 58 4.3.3 Max-Log-MAP Detection 59 4.3.4 Near-Optimal Low-Complexity Noncoherent Iterative Receiver 61 4.3.5 Decision Feedback Algorithm 64 4.3.6 Conclusions of Several Detection Methods 66 4.4 Other Comparisons of Different Training Codes 68 4.4.1 Comparison of Perfect Coherent Detection and Noncoherent MAP 68 4.4.2 Training Codes and Detection Algorithms with Different Frame Length 71 4.4.3 Further Results with Different Pilot Symbols Length 76 4.4.4 Discussion 79 CHAPTER 5 CONCLUSION 82 BIBLIOGRAPHY 83

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