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研究生:彭仁威
研究生(外文):Jen-Wei Peng
論文名稱:調適性遠時程瑞雷衰退通道預測演算法設計與性能比較
論文名稱(外文):Design and Comparison of Adaptive Long Range Prediction Algorithm for Rayleigh Fading Channels
指導教授:陳永芳陳永芳引用關係
指導教授(外文):Yung-Fang Chen
學位類別:碩士
校院名稱:國立中央大學
系所名稱:通訊工程研究所
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:2002
畢業學年度:90
語文別:中文
論文頁數:90
中文關鍵詞:調適性遠時程通道預測演算法瑞雷衰退通道
外文關鍵詞:adaptive LRPRayleigh fading channels
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  本論文旨在探討如何真正地實現調適性遠時程通道預測演算法(Adaptive Long Range Prediction,簡稱adaptive LRP),將預測範圍提昇至10毫秒以上。本論文將針對在多重路徑衰退通道之中,使用遞迴最小平方演算法(RLS)、可變步階參數最小均方演算法(VSLMS)、與傳統的固定步階參數最小均方演算法(LMS)等調適性濾波技術,並且考慮通道特性以及都卜勒頻率等因素,做調適性傳輸的調適性遠時程瑞雷衰退通道預測演算法設計及其評估,以及比較它們對於高斯雜訊的抵抗能力,並考慮運算複雜度,以評估其實現之可能性。



    The goal of this thesis is to discuss how to implement the adaptive long range prediction algorithm (adaptive LRP) practically and extend the prediction range to more than ten milliseconds. Here we are going to design and make the performance evaluation of the adaptive LRP algorithm for the adaptive transmission under the scenario of Rayleigh fading channels by considering three kinds of adaptive filtering techniques:recursive least-square algorithm (RLS), traditional least-mean-square algorithm using a fixed step-size parameter (LMS), and variable step-size least-mean-square algorithm (VSLMS). Furthermore, we will also take account of the effects of channel characteristics and Doppler frequency shift in the design. In the end, the resistance to Gaussian noise and the computational complexity of them will be evaluated.



第一章緒論 1

1.1研究動機.....................................1
1.2論文章節介紹.................................7

第二章系統模型及基本架構 8

2.1多重路徑衰退通道.............................8
2.2信號模型....................................15
2.3通道預測演算法於調適性傳輸中之角色..........19

第三章方法及原理介紹 23

3.1最小均方演算法(LMS).......................23
3.2遞迴最小平方演算法(RLS)...................35
3.3修正型反覆自動回歸方程式....................42
3.4可變步階參數最小均方演算法(VSLMS).........45

第四章模擬結果比較與分析 54

4.1固定步階參數與可變步階參數最小均方法之調適性遠時程通道預測演算法效能比
較..........................................54
4.2乘法型與線性型可變步階參數最小均方法之調適性遠時程通道預測演算法效能比
較..........................................59
4.3遞迴最小平方法之調適性遠時程通道預測演算法
............................................68
4.4遞迴最小平方法、可變步階參數與固定步階參數最小均方法之調適性遠時程通
道預測演算法於高斯雜訊下的效能比較..........73
4.5固定步階參數最小均方法之調適性遠時程通道預測演算法於不同步階參數值之比
較..........................................84
4.6可變步階參數最小均方法之調適性遠時程通道預測演算法於不同步階參數上限
之比較......................................86

第五章結論 89

參考文獻


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