博碩士論文 955203003 詳細資訊




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姓名 謝政達(Cheng-Ta Hsieh)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 在多路徑環境之分集結合接收器之 二階統計特性
(Second-Order Statistics of Diversity Combining Reception in Multipath Communication )
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摘要(中) 在無線通訊系統下,分集結合技術對於降低多路徑衰落的效應而言是不可或缺的,並且分集技術被期望為可以增加系統的效能。然而在相關性通道分支的情況下,分集技術的作用力會被降低。在空間分集技術的應用上,若天線沒有被間隔至少同調頻寬以上,通道之間產生相關性的現象是時常發生的。對於無線通訊系統效能的估測而言,二階統計特性是一個重要的指標。我們所提出的方法是利用Karhunen-Loeve 展開式,將原本具有相關性的隨機變數轉換為獨立的隨機變數,則這些獨立的隨機變數可以接著以分集結合技術處理,並期望觀察通道之統計特性。
摘要(英) For wireless communication systems, diversity combining techniques are indispensable for reducing the multipath fading effects, and it is expected to enhance the system performance. However, diversity techniques are diminished over correlated channel branches, which are commonly occurred in space diversity if the antennas are not separated at least coherence bandwidth. Second-order statistics are crucial performance criterion to evaluate the diversity effects of fading channels, whereas the performance in a correlated diversity system must be worse than that on independent multipath fading channels. A method which is to transform the correlated diversity branches into uncorrelated ones by the Karhunen-Loeve expansion, and then the transformed independent random variables are fed into the diversity combiner, and is expected to study the statistics of the fading channels.
關鍵字(中) ★ 分集結合
★ 多路徑衰落
★ 相關性通道
★ 二階統計特性
★ Karhunen-Loeve 展開式
關鍵字(英) ★ multipath fading
★ diversity combining
★ correlated channel
★ second-order statistics
★ Karhunen-Loeve expansion
論文目次 Contents
Chapter 1 Introduction 1
Chapter 2 Review of Channel Model, Diversity
Combining and Second-Order Statistics 5
2.1 Channel Model 5
2.2 Diversity Combining 8
2.2.1 Diversity Combining Methods 9
2.2.2 Diversity Combining Techniques 10
2.3 First-Order Statistics 12
2.3.1 Channel Capacity 12
2.3.2 Probability of Error 14
2.3.3 Outage Probability 14
2.4 Second-Order Statistics 15
Chapter 3 Second-Order Statistics of Diversity
Combining over Fading Channels 18
3.1 LCR and AFD of Multipath Fading Channel 18
3.1.1 Rayleigh Case 18
3.1.2 Nakagami-m Case 20
3.2 LCR and AFD of Maximal-Ratio Combining in
Multipath Fading Channels 24
3.2.1 Rayleigh Case 24
3.2.2 Nakagami-m Case 27
3.3 LCR and AFD of Equal-Gain Combining in Multipath
Fading Channels 32
3.3.1 Rayleigh Case 32
3.3.2 Nakagami-m Case 36
3.4 LCR and AFD of Selection Combining in Multipath
Fading Channels 39
3.4.1 Rayleigh Case 39
3.4.2 Nakagami-m Case 42
Chapter 4 A Study of Correlated Fading Channels 48
4.1 Direct Deviation of Correlated Diversity System 48
4.2 LCR for MRC Receiver over Correlated Fading
Channels with Bounded Variance 51
4.3 Cholesky Decomposition for Correlated Diversity
System 57
4.4 Diagonalization of the Correlated Fading Channels
through Karhunen-Loeve Expansion 59
Chapter 5 Conclusion 65
Reference 66
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指導教授 林嘉慶(Jia-Chin Lin) 審核日期 2008-7-23
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