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研究生:邱俊甯
研究生(外文):Chun-Ning Chiu
論文名稱:MIMO-OFDM無線區域網路的通道分析與電腦模擬
論文名稱(外文):Analysis and Computer Simulation of the MIMO-OFDM Channel Models for the High-Throughput Wireless Local Area Network
指導教授:劉宗憲劉宗憲引用關係
指導教授(外文):Tsung-Hsien Liu
學位類別:碩士
校院名稱:國立中正大學
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:2006
畢業學年度:94
語文別:中文
論文頁數:50
中文關鍵詞:空間相關特性空間相關係數通道容量MIMO檢測多輸入多輸出
外文關鍵詞:MIMOChannel capacityMIMO detectorSpatial correlation matrix
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在無線區域網路(WLAN)中,為了提供較高的資料傳輸速率(data rate),而利用多天線的架構,使用多重輸入輸出(MIMO)技術,而MIMO通道也是研究此技術的重要一環。本篇論文主要介紹TGn channel model 模擬MIMO通道的方法,特別針對通道的空間相關特性(spatial correlation properties)做深入的分析,然後利用電腦程式模擬出通道,並以蒙地卡羅法則驗證模擬通道的振幅(magnitude)、相位(phase)、空間相關係數(spatial correlation coefficient)和通道容量(channel capacity)以確保模擬的正確性,最後以各種不同的MIMO檢測(detection)方法分析TGn channel model下MIMO-OFDM系統的結果。
The multiple antenna technologies are being considered as a possible solution to provide high date rate over wireless communications. In this thesis, a statistical discrete-time model is considered for the future high-throughput wireless local area network (WLAN) that uses multiple antennas at both the transmitter and receiver sides. This multiple input multiple output (MIMO) channel model is mainly introduced by the WLAN high-throughput working group, and is commonly called the TGn channel model. Unlike the single input single output (SISO) model, the TGn channel model is characterized by its spatial correlation matrix. Monte Carlo simulations are used to verify the statistics of the TGn MIMO channel, including the spatial correlations of the channel coefficients and channel capacity. Bit error rate comparisons of several MIMO detectors under the TGn channel model are also given.
1 簡介
2 MIMO系統概述
2.1 系統模型
2.2 Tapped delay line model
2.3 TGn channel model
3 MIMO 通道模型
3.1 Azimuth
3.2 Multimodal Laplacian PAS
3.3 空間相關係數
3.4 相關矩陣
3.5 MIMO通道矩陣
3.6 Cluster model
3.7 Power delay profile (PDP)
3.8 Line-of-sight (LOS) component
4 電腦模擬與結果分析
4.1 電腦模擬
4.2 MIMO-OFDM 系統模擬
4.3 MIMO Detection
4.4 結果分析
4.5 通道容量
5 結論
[1] V. Erceg et al., ”TGn channel models, ” IEEE 802.11-03/940r4, May 2004.

[2] A.A.M. Saleh and R.A. Valenzuela, ”A statistical model for indoor multipath propagation, ” IEEE J. Select. Areas Commun., vol. 5, no. 2, pp. 128-137, Feb. 1987.

[3] C. Xiao, J. Wu, S. Y. Leong, Y. R. Zheng, and K. B. Letaief, ”A discrete-time model for triply selective MIMO Rayleigh fading channels, ” IEEE Trans. Wireless Commun., vol. 3, no. 5, pp. 1678-1688, Sept. 2004.

[4] T. S. Rappaport, Wireless Communications, Principles and Practice. 2nd ed, Prentice-Hall, 2002

[5] Q.H. Spencer, et al., ”Modeling the statistical time and angle of arrival characteristics of an indoor environment, ” IEEE J. Select. Areas Commun., vol. 18, no. 3, pp. 347-360, Mar. 2000.

[6] L. Schumacher, K. I. Pedersen, and P.E. Mogensen, ”From antenna spacings to theoretical capacities - guidelines for simulatingMIMO systems, ” in Proc. PIMRC Conf., vol. 2, Sept. 2002, pp. 587-592.

[7] R.J-M. Cramer, R.A. Scholtz, and M.Z. Win, ”Evaluation of an ultra-wide-band propagation channel, ” IEEE Trans. Antennas Propagat., vol. 50, no.5, pp. 561-570, May 2002.

[8] K.I. Pedersen, P.E. Mogensen, and B.H. Fleury, ”A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments, ” IEEE Trans. Veh. Technol., vol. 49, no. 2, March 2000, pp. 437-447.

[9] L. Schumacher, B. Raghothaman, ”Closed-form expressions for the correlation coefficient of directive antennas impinged by a multimodal truncated Laplacian PAS, ” IEEE Trans. Wireless Commun., vol. 4, no. 4, pp. 1351-1359, July 2005.

[10] Q. Li, M. Ho, V. Erceg, A. Janganntham, N. Tal, ”802.11n channel model validation, ” IEEE 802.11-03/894r1, 11-03-0894-01-000n-802-11n-channel-modelvalidation. pdf, Nov. 2003.

[11] J. G. Proakis, Digital Communications, 4th ed. New York: McGraw-Hill, 2001.

[12] S. M. Kay, Fundamentals of Statistical Signal Processing. Prentice-Hall, 1993.

[13] P.W.Wolniansky, G. J. Foshini, G. D. Golden and R. A. Valenzuela, ”V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel, ” in Proc. URSI ISSSE ’98, Pisa Italy, 1998, pp.295-330.

[14] G.J. Foschini and M.J. Gans, ”On the limits of wireless communications in a fading environment when using multiple antennas, ” Wireless Personal Communications, vol. 6, pp. 311-335, Mar. 1998.

[15] D. P. Palomar, J. R. Fonollosa, and M. A. Lagunas, ”Capacity results of spatially correlated frequency-selective MIMO channels in UMTS, ” in Proc. IEEE VTC”01, vol. 2, 2001, pp. 553-557.

[16] SCM Editors, ”Spatial channel model text description - v4.2b, ” Tech. Rep. 3GPP-3GPP2 SCM-132, Apr., 2003.
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