Responsive image
博碩士論文 etd-0917116-152128 詳細資訊
Title page for etd-0917116-152128
論文名稱
Title
多輸入多輸出正交分頻多工系統中基於基底擴充遞迴最小平方演算法之時變通道估測研究
Study on Recursive Least-Square Channel Estimation via Basis Expansion Model in MIMO-OFDM Systems
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
46
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2016-10-07
繳交日期
Date of Submission
2016-10-17
關鍵字
Keywords
遞迴式最小平方差演算法、基底擴充模型、時變通道、正交分頻多工傳送訊號系統、多輸入多輸出系統
Multiple-input multiple-output (MIMO), orthogonal frequency division multiplexing (OFDM), time-varying channel, basis expansion model (BEM), recursive least-squares (RLS)
統計
Statistics
本論文已被瀏覽 5699 次,被下載 25
The thesis/dissertation has been browsed 5699 times, has been downloaded 25 times.
中文摘要
在本篇論文中,我們探討在多輸入多輸出正交分頻多工傳送訊號系統下,對時變通道進行通道估測。於正交分頻多工系統中,時變通道可表示成雙重選擇性的矩陣形式,進一步藉由數指數基底擴充模型,此時變通道可以表示成時變的傅立葉基底與非時變的擴充基底模型係數。在高速移動的環境下,基底擴充模型係數在單一個正交分頻多工訊號的區塊中不會隨時間改變,但是在不同的正交分頻多工區塊中這些係數會有輕微的變化。因此我們利用遞回式最小平方差演算法去追蹤這些不同區塊中會改變的基底擴充模型係數。模擬結果顯示,尤其在都卜勒效應很大的情況下,我們提出的方法優於傳統的遞回式最小平方差直接對通道進行估測方法。
Abstract
In this thesis, we study the time-varying channel estimation problem for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Resorting to complex exponential basis expansion model (CE-BEM), the time-varying channel in OFDM systems is modeled as a doubly-selective matrix which can be represented by the BEM coefficients. In high mobile environment, the BEM coefficients remain as constant in an OFDM block and are slightly changed in adjacent OFDM block. Therefore, we apply the recursive least-square (RLS) algorithm to track the BEM coefficients. Simulation results show that the proposed method outperforms the conventional RLS block-wise channel estimation, especially for larger range of Doppler spreads systems.
目次 Table of Contents
論文審定書………………….……………………………………..……………….......i
中文摘要……………………….……………………………………..………………...ii
英文摘要………………………………………………………..…………...………....iii
目錄……………………………………………………………..…………...…….......iv
圖次……………………………………………………………….……………...….….v
第1章 序言…………………………………………………………..........................1
第2章 正交分頻多工系統時變通道模型……………..……...................................
第2.1節 時變通道模型……………………………...………..….........................…8
第2.2節 多輸入多輸出正交分頻多工訊號模型…..…………….....................……9
第2.3 節 基底擴充實變通道模型…………………………………..................……12
第3章基底擴充通道估測…………………………………………..........................…
第3.1節 基於基底擴充通道模型做最小平方差對通道估測………...............…….15
第3.2節 遞迴式最小平方差調適性演算法介紹……………….…..................….18
第3.3節 基於基底擴充模型遞迴式最小平方差通道估測演算法…......................22
第4 章 系統模擬及探討……………………………………………..…...…………...28
第5章結論與未來展望………………………………………………………......….…37
參考文獻………………………………………………………………….....…………38
參考文獻 References
[1] D. Gesbert, M. Shafi, D. S. Shiu, P. J. Smith, and A. Naguib, “From theory to practice: An overview of MIMO space-time coded wireless systems,” IEEE J.Sel.Areas Commun., vol. 21,no. 3, pp. 281-302, Apr. 2003.
[2] Q. H. Spencer, C. B. Peel, A. L. Swindlehurst, and M. Haardt, “An introduction to the multi-user MIMO downlink,” IEEE Commun. Mag., vol. 42, no. 10, pp. 60-67, Oct. 2004.
[3] M. Z. Siam and M. Krunz, “An overiew of MIMO-oriented channel access in wireless network,” IEEE Trans. Wireless Commun., vol. 15, no. 1, pp. 63-69, Feb. 2008.
[4] P. Wolniansky, G. Foschini, G. Golden, and R. Valenzuela, “V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel ,” in Proc. Int. Symp. Signals, Systems, Electronics (ISSSE’98), Pias, Italy, pp. 295-300, Sept. 1998.
[5] S. M. Alamounti, “A simple transmit diversity technique for wireless communications,” IEEE J. Sel. Areas Commun., vol. 16, no. 8, pp. 1451-1485, Oct. 1998.
[6] L. J. Cimini, “Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing,” IEEE Trans. Commun., vol. COM-3, pp. 665-675, Jul. 1985.
[7] G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas”, Wireless Pers. Commun., vol. 6, no. 3, pp. 311-335, Mar. 1998.
[8] G. G. Raleigh and J. M. Cioffi, “Spatio-temporal coding for wireless communication,” IEEE Trans. Commun., vol. 46, pp. 357-366, Mar. 1998.
[9] H. Bolcskei, D. Gesbert and A. J. Paulraj, “On the Capacity of OFDM-Based Spatial Multiplexing Systems,” IEEE Trans. Commun., vol. 50, no. 2, pp. 225-34, Feb. Aug. 2002.
[10] V. Pohl, P. H. Nguyen, V. Jungnickel and C. von Helmolt, “How often channel estimation is needed in MIMO systems,” Proc. IEEE Global Telecommun. Conf., vol. 2, pp. 814-818, 2003.
[11] T. Roman, M. Enescu and V. Koivunen, “Time-Domain Method for Tracking Dispersive Channels in MIMO OFDM Systems,” Proc. IEEE Conf. Acoustics Speech and Signal Process., vol. 4, pp. 393-96, 2003.
[12] C. Suh, C-S. Hwang and H. Choi, “Comparative Study of Time-Domain and Frequency-Domain Channel Estimation in MIMO-OFDM Systems,” Proc. IEEE PIMRC Conf., pp. 1095-1099, 2003.
[13] C. Zhenlan and D. Dahlhaus, “Time Versus Frequency Domain channel Tracking Using Kalman Filters for OFDM Systems with Antenna Arrays,” Proc. IEEE Veh. Technol. Conf., vol. 1, pp. 651-55, 2003.
[14] M.K. Tsatsanis and G.B. Giannakis, “Modeling and equalization of rapidly fading channels,” Int. J. Adapt. Control Signal Process., vol. 10, pp. 159-176, 1996.
[15] D.K. Borah and B.D. Hart, “Frequency-selective fading channel estimation with a polynomial time-varying channel model,” IEEE Trans.Commun., vol. 47, no. 6, pp. 862-873, 1999.
[16] S. Tomasin, A. Gorokhov, H. Yang and J.-P. Linnartz, “Iterative interference cancellation and channel estimation for mobile OFDM,” IEEE Trans.Wireless Communications, vol. 4, no. 1, pp. 238-245, 2005.
[17] M. Visintin, “Karhunen-Loéve expansion of a fast Rayleigh fading process,” Electronics Letters, vol. 32, no. 18, pp. 1712-1713, 1996.
[18] K.D. Teo and S. Ohno, “Optimal MMSE finite parameter model for doubly-selective channels,” Proc. IEEE Global Telecommun. Conf. (GLOBECOM) 2005, pp. 3503-3507.
[19] G. Leus, “On the estimation of rapidly time-varying channels,” in Euro.. Signal Process. Conf. (EUSIPCO), Sep. 2004
[20] P. Hoeher, S. Kaiser and P. Robertson, “Two-dimensional Pilot-symbol-aided Channel Estimation by Wiener Filtering,” IEEE ICASSP, vol. 3, pp. 1845-1848, 1997.
[21] F. Said and H. Aghvami, “Linear two dimensional pilot assisted channel estimation for OFDM systems,” Proc. IEEE Conference on Telecommunications 1998, pp. 32-36.
[22] O. Edfors, M. Sandell, J. Van De Beek, S. Wilson and P. Borjesson, “Analysis of DFT-based channel estimators for OFDM,” Wireless Personal Communications, vol. 12, no. 1, pp. 55-70, Jan 2000.
[23] P. Tsai and T. Chiueh, “Frequencydomaih interpolationbased channel estimation in pilot-aided OFDM systems,” Proc. IEEE Vehicular Technology Conference, vol. 1, pp. 420-424, 2004.
[24] H. Dogan, H. Cirpan and E. Panayirci, “Iterative Channel Estimation and Decoding of Turbo Coded SFBC-OFDM Systems,” IEEE Trans. Wireless Commun, vol. 6, no. 8,pp. 3090-3101, Apr. 2006.
[25] M. A. Saeed and B.M. Ali, “Time-domain RLS-based channel estimation for MIMO OFDM systems,” Telecommunications and Malaysia International Conference on Communications, vol. 5, pp. 520-552, May. 2007.
[26] Z. Tang, R. C. Cannizzaro, G. Leus and P. Banelli, “Pilot-assisted time-varying channel estimation for OFDM systems,” IEEE Trans. Signal Process., vol. 55, no. 5, pp. 2226-2238, Mar. 2007.
[27] H. Nguyen-Le, L.-N. Tho and L. Canonne-Velasquez, “BEM-Based limited feedback for precoding and scheduling over doubly selective multiuser miso downlink channels,” 2010 IEEE International Conference on Communications (ICC), pp. 1-5, July. 2010.
[28] H. Nguyen-Le, T. Le-Ngoc and N. H Tran, “Iterative Receiver Design With Joint Doubly Selective Channel and CFO Estimation for Coded MIMO-OFDM Transmissions,” IEEE Trans. Vehicular Technology, vol. 60, pp. 4052-4057, Oct. 2011.
[29] T. Hrycak, S. Das, G. Matz and H.G. Feichtinger, “Low complexity equalization for doubly selective channels modeled by a basis expansion,” IEEE Transactions on Signal Processing, vol. 58, no. 11, pp. 5706-5719, Aug. 2010.
[30] G. Leus. 2004. On the estimation of rapidly time-varying channels. In Proceedings of the European Signal Processing Conference, Vienna, pp. 2227–30.
[31] Y. R. Zheng and C. Xiao, “Simulation models with correct statistical properties for Rayleigh fading channels,” IEEE Trans. Commun., vol. 51, no. 6, pp. 920-928, July. 2003.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code