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研究生： 蔡欣學
Hsin-Shieh Tsai
論文名稱： 調適性遠時程瑞雷衰退通道預測演算法及應用於調適性調變
Effects of adaptive prediction algorithms on adaptive QAM in flat Rayleigh fading channels
指導教授： 陳永芳
Yung-Fang Chen
口試委員:
學位類別： 碩士
Master
系所名稱： 資訊電機學院 - 電機工程學系
Department of Electrical Engineering
畢業學年度： 91
語文別： 中文
論文頁數： 72
中文關鍵詞： 遞迴式最小平方演算法 、最小均方演算法 、可變步階參數最小均方演算法 、調適性遠時程通道預測演算法 、調適性調變 、調適性傳輸
外文關鍵詞： variable step-size LMS, adaptive transmission, adaptive modulation, adaptive long range prediction algorithm, RLS, LMS
相關次數： 點閱：10  下載：0 
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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)，並且將此結果應用在調適性調變系統上。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)、傳統的固定步階參數最小均方演算法(LMS)與可變步階參數最小均方演算法(VSLMS)等調適性濾波技術，並且考慮通道特性等因素，做調適性調變系統的調適性遠時程瑞雷衰退通道預測演算法設計及其評估，以及比較它們位元錯誤率和BPS性能，並考慮運算複雜度，以評估其實現之可能性。再者，根據不同的都卜勒頻率偏移決定適合的遠時程通道預測演算法階數及調適性調變系統的臨界值。

    The aim of this thesis is to propose three kinds of adaptive long rang prediction (Adaptive LRP) algorithms and extend the prediction result to the adaptive modulation. The adaptive LRP algorithms we used here are recursive least-square (RLS) algorithm, traditional least-mean-square (LMS) algorithm using a fixed step-size parameter and variable step-size least-mean-square (VSLMS) algorithm. We will investigate the BER and BPS performance of adaptive modulation in Rayleigh fading channel by using our proposed adaptive LRP algorithms and perfect prediction. Furthermore, we will also consider different speed zone to decide the suitable order of the adaptive LRP algorithms and the threshold of the adaptive modulation system.

    1.1 研究動機……………………………………………….1 1.2 論文章節介紹………………………………………….3 第二章 系統模型及基本架構 2.1 多重路徑衰退通道……………………………………..6 2.2 調適性調變系統………………………………………..9 2.3 導引符元輔助調變(PSAM)系統模型…………………13 第三章 方法及原理介紹 3.1 遞迴式最小平方演算法 (RLS)……………………….17 3.2 最小均方演算法 (LMS)………………………………19 3.3 可變步階參數最小均方演算法 (VSLMS)……….…..22 3.4 修正型反覆自動回歸方程式 ………………………….28 3.5 如何決定臨界值……………………………………….30 3.6 行動載具測速機制…………………………………….34 第四章 模擬結果比較與分析 4.1 模擬參數介紹………………………………………….37 4.2 預測通道訊雜比的方式……………………………….39 4.3 瞬間位元錯誤率限制與平均位元錯誤率限制之臨界值於調適性調變系統比較……………………………….42 4.4 固定階數之遠時程衰退通道預測演算法於固定臨界值之調適性調變系統性能比較………………………….44 4.5 最佳臨界值之選擇…………………………………….47 4.6 最佳階數之選擇……………………………………….51 4.7 最佳選擇階數之遠時程衰退通道預測演算法於最佳選擇臨界值之調適性調變系統性能比較……………….61 4.8 記憶展延……………………………………………….65 4.9 接收器架構之設計…………………………………….68 第五章 結論 參考文獻

    [1] A. J. Goldsmith and S. G. Chua, “Adaptive Coded Modulation for Fading Channels,” IEEE Trans. Commun. vol. 46, pp. 595-602, May 1998.
    [2] A. J. Goldsmith and S. G. Chua, “Variable-Rate Variable-Power MQAM for Fading Channels,” IEEE Trans. Commun., vol. 45, pp. 1218-1230, Oct. 1997
    [3] T. Keller and L. Hanzo, “Adaptive Modulation Techniques for Duplex OFDM Transmission,” IEEE Trans. Veh. Technol., vol. 49, No. 5, Sept. 2000.
    [4] A. J. Goldsmith, “Adaptive Modulation and Coding for Fading Channels,” Information Theory and Communication Workshop, 1999. Proceedings of the 1999 IEEE , June 1999, pp.24-26
    [5] B. Vucetic, “An adaptive coding scheme for time-varying channels,” IEEE Trans. Commun., Vol. 39, No. 5, pp. 653-663, May 1991.
    [6] G. Caire, G. Taricco, and E. Biglieri, “Optimum power control over fading channels,” IEEE Trans. Inform. Theory, Vol. 45, No. 5, pp.1468-1489, July 1999.
    [7] M. Raitola, A. Hottinen, and R. Wichman, “Transmission Diversity in Wideband CDMA,” IEEE Veh. Technol. Conf., Vol. 2, pp. 1545-1549, May 1999.
    [8] J. Kim, S. Ro, I. Hwang, D. Hong and C. Kang, “Performance of adaptive modulation with transmit diversity over frequency-selective Rayleigh fading channels,” Electron. Lett. vol. 38, pp.1136-1137, September 2002.
    [9] Alexandra Duel-Hallen, Shenhquan Hu, and Hans Hallen, “Long Range Prediction of Fading Signals,” IEEE Signal Processing Mag., pp.62-75, May 2000.
    [10] S. Hu, H. Hallen, and A. Duel-Hallen, “Physical Channel Modeling, Adaptive Prediction and Transmitter Diversity for Flat Fading Mobile Channel,” SPAWC’99, pp.387-390, May 1999.
    [11] S. Haykin, Adaptive Filter Theory. New Jersey: Prentice Hall, 2002.
    [12] Wee-Peng Ang and B. Farhang-Boroujeny, “A New Class of Gradient Adaptive Step-Size LMS Algorithm,” IEEE Trans. Signal Processing, 2001.
    [13] Wee-Peng Ang and B. Farhang-Boroujeny, “Gradient Adaptive Step-Size LMS Algorithms:Past Result & New Developments,” IEEE, 2000.
    [14] A. Benveniste, M. Metivier, and P. Priouret, “Adaptive Algorithms and Stochastic Approximation,” New York:Springer-Verlag, 1990.
    [15] James K. Cavers, “An Analysis of Pilot Symbol Assisted Modulation for Rayleigh Fading Channels,” IEEE Trans. Veh. Technol , vol. 40, pp. 686-693, November 1991.
    [16] S. Sampei and T. Sunaga, “Rayleigh fading compensation method for 16QAM in digital land mobile radio channels,” in Proc. IEEE Veh. Technol. Conf. Pp.640-646, May 1989.
    [17] V. J. Mathews and Z. Xie, “Stochastic Gradient Adaptive Filters with Gradient Adaptive Step Size,” IEEE Trans. Signal Processing, vol. 41, pp. 2075-2087, June 1993.
    [18] J. M. Torrance and L. Hanzo, “Optimisation of switching levels for adaptive modulation in slow Rayleigh fading,” Electron. Lett. vol. 32, pp.1167-1169, June 1996.
    [19] J. M. Torrance and L. Hanzo, “Upper bound performance of adaptive modulation in a slow Rayleigh fading,” Electron. Lett. vol. 32, pp.718-719, April 1996.
    [20] B. J. Choi and L. Hanzo, “Optimal mode-switching levels for adaptive modulation systems,” Global Telecommun. Conf. Vol. 16, pp.3316-3320, 2001
    [21] PRESS, W. H., TEUKOLSKY. S. A., VETTERLING, W. T., and FLANNERY, B. P.: `Numerical recipes in C''(Cambridge University Press, 1994)
    [22] A. Sampath and J. M. Holtzman, “Estimation of maximum Doppler frequency for handoff decisions,” IEEE Veh. Techno. Conf., pp. 859-862, May 1993.

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