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研究生:李文仁
研究生(外文):Wen-Ren Li
論文名稱:利用適應演算法在混沌通訊系統通道編碼之研究
論文名稱(外文):Channel Coding of Chaotic ommunication System via Adaptive Algorithm
指導教授:蔡樹川
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:電機工程系碩士班
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:2006
畢業學年度:94
語文別:中文
論文頁數:112
中文關鍵詞:差分混沌位移鍵控混沌通訊系統位元錯誤率適應性等化器通道編碼
外文關鍵詞:chaotic communication systemCSKDCSKChannel CodingBERAdaptive Equalizer
相關次數:
  • 被引用被引用:3
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
差分混沌位移鍵控(DCSK)為非同調通訊系統,調變與解調變技術其主要特點是利用混沌訊號作為載波方式。由於混沌系統本身具有多頻率的特性,因此在無線通訊中,多路徑衰減的傳送下,具有更好性能的發展。為了改善混沌通訊系統的整體的性能,提升以DCSK為基礎通訊系統。尤其在AWGN、離散非時變通道及無線多路徑時變通道的衰減情況下進行性能模擬與分析,本論文並提出以適應性通道等化器及通道迴旋編碼最大相似解碼方式來補償通道衰減及雜訊干擾,用以達成性能提升的目的。
在論文中均對所推得的理論做一數值上的模擬並驗證所推理論的可行性,最後以數位影像通過所設計的系統,模擬獲得一系統化方式來分析系統性能在不同環境下的差異,做為未來數位通訊應用的參考。
DCSK is a non-coherent modulation and demodulation technique which is designed by using the chaotic signal as the carrier. Due to the characteristic of multi-frequency of chaotic communication, a good performance of multi-path-fading is expected for wireless communication. In order to obtain the good performance of chaotic communication system in time-invariant channel and time-variant channel, the thesis is to presented an adaptive channel equalizer and a technique of channel coding to overcome channel effect and noise especially AWGN.
In this thesis, we not only apply the numerical simulation to demonstrate proposed results but also transmit a some digital images and voices in different communication systems to verify performance is satisfying in different environments.
中文摘要 I
英文摘要 II
誌謝 Ⅳ
目錄 V
表目錄 Ⅷ
圖目錄 Ⅸ
第一章 緒論 1
1.1 相關文獻及背景 1
1.2 研究動機及目的 2
1.3 論文概述 3
第二章 以差動混沌位移鍵控為基礎之數位通信系統 5
2.1 簡介 5
2.2 混沌系統 6
2.3 混沌通訊系統架構 7
2.4 混沌位移鍵控 9
2.4.1 CSK調變 10
2.4.2 CSK解調變 11
2.5 DCSK調變系統 12
2.5.1 DCSK調變 12
2.5.2 DCSK解調變 14
2.5.3 DCSK 的誤碼率 15
2.6 模擬與結果 16
第三章 通道架構及特性 18
3.1 簡介 18
3.2 離散時間非時變通道 19
3.3 無線多路徑時變的通道 21
3.3.1 無線訊號傳播路徑 21
3.3.1.1 路徑損失(Path Loss) 22
3.3.1.2 衰減(Fading) 23
3.3.1.2.1 緩慢衰減(Slow Fading) 24
3.3.1.2.2 快速衰減(Fast Fading) 24
3.3.1.2.3 都普勒擴散(Doppler spread) 25
3.4 Jakes衰減通道模型 27
3.4.1 Jakes衰減模型 27
3.4.2 改良式Jakes模型 29
3.5 GSM傳播模型 30
3.6 模擬與結果 32
第四章 通道等化器技術 37
4.1 簡介 37
4.2 等化器的基礎 37
4.2.1 等化器原理 38
4.2.2 適應性等化器 39
4.3 最小均方(LMS)通道等化器 43
4.4 最大相似估測器(Maximum likelihood estimator) 44
4.5 模擬與結果 48
第五章 通道編碼技術 52
5.1 簡介 52
5.2 迴旋編碼 53
5.2.1 編碼原理 54
5.2.2 編碼樹、格子圖與狀態圖 57
5.2.2.1 編碼樹(coding tree) 57
5.2.2.2 格子圖(Trellis diagrams) 59
5.2.2.3 狀態圖(state diagrams) 60
5.3 交錯器(Interleaver) 62
5.4 最大相似迴旋解碼 64
5.5 模擬與結果 66
第六章 實驗結果與結論 70
6.1 實驗結果 70
6.1.1 使用線性等化器(LE)、最大相似估測器(MLSE)、迴旋編解碼
(ECC)與MLSE結合ECC在DCSK系統受到通道衰減的性能
比較 70
6.1.2 傳統BPSK與DCSK對於通道衰減的性能比較 72
6.1.3 實際傳送影像 74
6.2 結論與未來展望 93
6.2.1 結論 93
6.2.2 未來展望 93
參考文獻 95
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