可調適性正交分頻多工系統之長時間通道預估法分析

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姓名

林俊宗(Chun-Tsung Lin) 查詢紙本館藏

畢業系所

通訊工程學系在職專班

論文名稱

可調適性正交分頻多工系統之長時間通道預估法分析
(Long range prediction for adaptive orthogonal frequency division multiplexing system)

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摘要(中)

為了要滿足所有無線通訊服務在聲音、資料及視訊上對頻寬的強大需求，正交分頻多工(OFDM)技術被廣為使用。OFDM系統將大量的資料分散成許多個較小的容量，並由許多個子載波同時間的傳送，這些子載波在頻率上一樣交疊著，只是藉由FFT運算有效地分散彼此，使彼此間不會和傳統FDM系統一樣會有干擾問題。
為了更進一步地改善通訊系統的效能，遂衍生出了可調適性正交分頻多工(AOFDM)技術，而為了有效地調適通道負載，通道狀態(CSI)必須被傳回至傳送端；且為了解決高速移動所帶來的通道問題，我們使用長時間通道預估法於AOFDM系統中，而本論文針對AOFDM系統來探討幾項長時間通道預估法，藉著模擬結果來了解其預估法的特性，並探討如何使系統的性能更有效地被利用。

摘要(英)

To accomplish the increasing demand for all types of wireless services such as voice, data, and multimedia, orthogonal frequency division multiplexing (OFDM) technology is promoted. OFDM splits a high-rate data stream into a number of lower rate streams that are transmitted simultaneously over a number of sub-carrier. These sub-carriers typically overlap in frequency, but are designed not to interfere with each other as would be the case with traditional FDM, and may be efficiently separated by using a fast Fourier transform (FFT) algorithm.
Adaptive orthogonal frequency division multiplexing (AOFDM) technology improves the ability of OFDM. To accomplish efficient adaptive channel loading, the channel state information (CSI) needs to be fed back to the transmitter. Since the fading channel varies rapidly for fast vehicle speeds, long range fading prediction is required for mobile AOFDM to insure reliable adaptation. In this thesis, we investigate several long range predictions in AOFDM system. We’d also know the characteristics of prediction algorithms by simulation results.

關鍵字(中)

★ 長時間預估
★ 可調適性正交分頻多工

關鍵字(英)

★ AOFDM
★ LRP

論文目次

第一章緒論 ………………………………………………… 1
1-1 前言 ……………………………………………… 1
1-2 研究動機 ………………………………………… 1
1-3 章節概要 ………………………………………… 2
第二章正交分頻多工(OFDM)系統簡介 …………………… 4
2-1 正交分頻多工(OFDM)系統原理之介紹 ………… 4
2-1-1 分頻多工與正交原理之簡介 ……………… 4
2-1-2 保護區間之簡介 …………………………… 7
2-1-3 OFDM系統模型之簡介 ……………………… 8
2-2 IEEE 802.16-2005系統簡介 ………………… 13
第三章通道預估法之簡介 ……………………………… 17
3-1 Least Mean Square algorithm (LMS) ……… 21
3-2 Normalized LMS algorithm (NLMS) ………… 22
3-3 Leaky-NLMS algorithm ………………………… 23
3-4 Recursive Least Squares algorithm (RLS) … 24
3-5 Adaptive LMS algorithm (ALMS) …………… 25
3-6 Adaptive RLS algorithm (ARLS) …………… 26
第四章電腦模擬與結果分析 …………………………… 28
4-1 模擬系統簡介 ………………………………… 28
4-2 系統模擬與分析 ……………………………… 31
第五章結論與未來研究方向 …………………………… 42
參考文獻 …………………………………………………… 43

參考文獻

[1] Alexandra Duel-Hallen, Hans Hallen, and Tung-Sheng Yang, “Long Range Prediction and Reduced Feedback for Mobile Radio Adaptive OFDM Systems” IEEE Trans. Commun., vol. 5, no. 10, Oct 2006.
[2] A. Duel-Hallen, S. Hu, and H. Hallen, “Long range prediction of fading signals: Enabling adaptive transmission for mobile radio channels” IEEE Signal Processing Mag., vol. 17, no. 3, pp. 62–75, May 2000.
[3] H. Hallen, S. Hu, M. Lei, and A. Duel-Hallen, “A physical model for wireless channels to understand and test long range prediction of flat fading” in Proc. Wireless 2001, July 2001.
[4] H. Hallen, A. Duel-Hallen, S. Hu, T. S. Yang, and M. Lei, “A physical model for wireless channels to provide insights for long range prediction” in Proc. IEEE MILCOM, Oct. 2002, vol. 1, pp. 627–631.
[5] Y. Li, L. J. Cimini, and N. R. Sollenberger, “Robust channel estimation for OFDM systems with rapid diversive fading channel” IEEE Trans Commun., vol. 46, pp. 902–915, Apr. 1998.
[6] Tung-Sheng Yang, “Performance Analysis of Adaptive Transmission Aided by Long Range Channel Prediction for Realistic Single-and Multi-Carrier Mobile Radio Channels” PhD thesis, North Carolina State University, 2004.
[7] W. C. Jakes, Microwave Mobile Communications. New York: Wiley, 1974.
[8] T. S. Rappaport, Wireless Communications: Principles and Practice, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 2000.
[9] S. Haykin, Adaptive Filter Theory, 3rd ed. Upper Saddle River, NJ: Prentice-Hall, 1996.
[10] A. Papoulis, Probability, Random Variables, and Stochastic Processes, 3rd ed. New York: McGraw-Hill, 1991.
[11] M. Lei and A. Duel-Hallen, “Long range channel prediction and adaptive transmission for frequency hopping communications” in Proc.41st Annual Allerton Conference on Communications, Control, and Computing, Oct. 2003, pp. 1-10.
[12] J. G. Proakis, Digital Communications, 3rd ed. New York: McGraw-Hill, 1995.
[13] A. Arredondo, K. R. Dandekar, and Guanghan Xu, “Vector channel modeling and prediction for the improvement of downlink received power” IEEE Trans. Commun., vol. 50, no. 7, pp.1121–1129, July 2002.
[14] Aditya Dua and Nicholas Bambos, “Downlink Scheduling of Heterogeneous Traffic” Department of Electrical Engineering, Stanford University, Stanford, CA 94305.

指導教授

陳永芳(Y.F. Chen)

審核日期

2008-7-16

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