半盲目通道追蹤演算法使用於正交分頻多工系統

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：2

、訪客IP：18.224.38.3

姓名

吳珈穆(CHIA-MU WU) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

半盲目通道追蹤演算法使用於正交分頻多工系統
(The OFDM System with a Semi-Blind Channel Tracking Algorithm)

相關論文

★ 利用二元關聯法之簡易指紋辨識	★ 使用MMSE等化器的Filterbank OFDM系統探討
★ Kalman Filtering應用於可適性載波同步系統之研究	★ 無線區域網路之MIMO-OFDM系統設計與電路實現
★ 包含通道追蹤之IEEE 802.11a接收機設計與電路實現	★ 時變通道下的OFDM傳輸系統設計: 基於IEEE 802.11a標準
★ MIMO-OFDM系統各天線間載波頻率偏差之探討與收發機硬體實現	★ 使用雜散式領航訊號之DVB-T系統通道估測演算法與電路實現
★ 數位地面視訊廣播系統同步模組之設計與電路實現	★ 適用於移動式正交分頻多工通訊系統的改良型時域通道響應追蹤演算法
★ 正交分頻多工系統通道估測基於可適性模型化通道參數估測	★ 以共同項載波頻率偏移補償於正交分頻多重存取系統中減少多重存取干擾之方法
★ 正交分頻多工系統之資料訊號裁剪雜訊消除	★ 適用於正交分頻多工通訊系統的改良型決策反饋之卡爾曼濾波通道估測器
★ 正交分頻多重存取以共同項載波頻率偏移補償以達到最小均方誤差之方法	★ 以共同載波頻率偏移修正於交錯分配正交分頻多重存取系統

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限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。

摘要(中)

為了應付OFDM於時變通道中所造成之通道效應，通道追蹤已成為重要之探討課題。通常會有兩種方法來解決此通道效應之問題，第一種方法將於傳輸訊號中插入領航訊號(Pilot)，不過如此將造成頻寬效率下降。第二種方法為利用Preamble加上決策迴授機制的方法，於頻寬效率上是優於第一種方式，不過第二種方法的缺點為，在兩個連續的Payloads之中還是需要插入一個Preamble，假若我們的Frame長度太小，同樣會降低頻寬效率。因此，我們提出半盲目通道追蹤法來提升頻寬效率。傳統的通道追蹤是利用決策迴授機制的方法，不過此法最大的缺點是會有錯誤傳播情形發生，造成系統性能降低。因此於本論文中，我們提出半盲目通道追蹤法並結合兩種不同的切換機制與傳統的通道追蹤方法利用BER(Bit Error Rate)於性能上做一比較，從模擬的結果中可得知，我們所提出的通道追蹤方法可得到較佳之性能。

摘要(英)

To deal with the channel effect in an OFDM time-varying channel, channel tracking is an important issue. We can have two methods to solve the channel effect problem. First, we use pilots to be inserted in transmitted signals, which significantly reduce the bandwidth efficiency. Second, we use a preamble along with decision feedback methods, which has better bandwidth efficiency than the first method. However, the drawback of the latter method is the requirement of a preamble between two successive data payloads. If the length of the frame is small, the bandwidth efficiency is also restricted. Therefore, we propose a semi-blind channel tracking method to improve the bandwidth efficiency. It is well-known that the decision feedback channel tracking method has the error propagation problem which can degrade the system performance. In contrast, the semi-blind channel tracking method applies a decision error criterion to change the use of the error control signal without the error propagation problem. Simulation results show that the proposed semi-blind channel tracking scheme has better BER performance than the decision feedback method.

關鍵字(中)

★ 通道追蹤
★ 半盲目

關鍵字(英)

★ Channel Tracking
★ Semi-Blind

論文目次

章節目錄
第一章序論 1
1.1. 前言 1
1.2. 研究動機 2
1.3. 內容大綱 2
第二章正交分頻多工系統之簡介 3
2.1. 正交分頻多工系統之基本原理 3
2.2. 循環字首 4
2.3. OFDM之優缺點 5
2.4. 通道模型 7
2.4.1. 傑克斯通道模型簡介 7
2.4.2. 功率延遲數據圖(Power Delay Profile) 9
2.4.3. 自迴歸通道模型簡介 11
第三章正交分頻多工系統之通道追蹤 14
3.1. 802.11a之通道估測法 14
3.2. 頻域之通道追蹤利用決策迴授機制 16
3.3. 時域之通道追蹤利用決策迴授機制 17
3.4. 平滑化通道估測 19
3.5. 半盲目通道追蹤法 21
3.5.1. MCMA與相位回復演算法 22
3.5.2. Generalized Sato Algorithm(GSA) 26
3.5.3. Stop-and-Go Algorithm(SGA) 27
3.6. 半盲目通道追蹤法與直接決策模型之切換準則 28
3.6.1. 通道追蹤模型切換 28
3.6.2. 切換法則 29
第四章模擬與分析 36
4.1. 系統以及通道模型之參數設定 36
4.2. 不同Blind通道估測法利用自動切換準則之性能比較 42
4.3. MCMA與直接決策模式之切換準則模擬與分析 44
4.4. 通道追蹤演算法之位元錯誤率性能模擬與分析 55
第五章結論和未來展望 65
參考文獻 67

參考文獻

參考文獻
[1]S. Coleri, M. Ergen, A. Puri, and A. Bahai, “Channel estimation techniques based on pilot arrangement in OFDM systems,” IEEE Trans. Broadcasting, vol. 48, no. 3, pp. 223-229, 2002.
[2]P. Y. and T. D. Chiueh, “Frequency-domain interpolation-based channel estimation in pilot-aided OFDM systems,” in Proc. IEEE Vehicular Technology Conf., 2004, pp. 420-424.
[3]R. Grunheid, H. Rohling, J. Ran, E. Bolinth, and R. Kan, “Robust channel estimation in wireless LANs for mobile environment,” in Proc. IEEE Vehicular Technology Conf., Sep. 2002, pp. 1545-1549.
[4]J. Zhu and W. Lee, “Channel estimation with power-controlled pilot symbols and decision-directed reference symbols,” in Proc. IEEE Vehicular Technology Conf., Oct. 2003, pp. 1268-1272.
[5]S. Balasubramanian, B. B. Farhang, and V. J. Mathews, “Pilot embedding for channel estimation and tracking in OFDM systems,” in Proc. IEEE Global Telecommunications Conf., Nov. 2004 , pp. 1268-1272.
[6]H.–K. Song, Y.–H. You, J.-H. Paik, and Y.-S. Cho, “Frequency offset synchronization and channel estimation for OFDM based transmission,” IEEE Commun. Lett., vol. 4, pp. 95-97, Mar. 2000.
[7]R. J. Lyman and W. W. Edmonson, “Decision-directed tracking of fading channels using linear prediction of the fading envelope,” in Proc. IEEE Asilomar Conf. on Signal Processing Systems and Computers, 1999, vol. 2, pp. 1154-1158.
[8]J. Ran, R. Grunheid, H. Rohling, E. Bolinth, and R. Kern, ” Decision-directed channel estimation method for OFDM systems with high velocities,” in Proc. IEEE Vehicular Technology Conf., 2003, pp. 2358-2361.
[9]T. Kella, “Decision-directed channel estimation for supporting higher terminal velocities in OFDM based WLANs,” in Proc. IEEE Global Telecommunications Conf., Apr. 2003 , pp. 1306-1310.
[10]Y. Li, L. Cimini, and N. Sollenberger, ”Robust channel estimation for OFDM systems with rapid dispersive fading channels,” IEEE Trans. on Commun., vol. 46, no. 7, pp. 902-915, Feb. 1995.
[11]T. Y. Al-Naffouri, A. Bahai, and A. Paulraj, ”An EM-based OFDM receiver for time-domain channels,” in Global Telecommunications Conf. GLOBECOM, Nov. 2002, vol. 1, pp. 589-593.
[12]H. Sari, G. Karam, and I. Jeanclaude, “Transmission techniques for digital terrestrial TV broadcasting,” IEEE Commun. Mag., vol. 33, no. 2, pp. 100-109, Feb. 1995.
[13]W. Zou and Y. Wu, “COFDM: an overview,” IEEE Trans. Broadcasting, vol. 41, no. 1, pp. 1-8, Mar. 1995.
[14]COST 207 Management Committee, COSE 207: Digital Land Mobile Radio Communications (Final Report), commission of the European Communities, 1989.
[15]W. C. Jakes, Microwave Mobile Communications, New York: John Wiley, 1974.
[16]S. M. Kay, Modern Spectral Estimation, Englewood Cliffs, NJ: Prentice Hall,1988.
[17]J. Terry and J. Heiskala, OFDM Wireless LANs: A Theoretical and Practical Guide .Indianapolis, Indiana: Sams, 2002.
[18]J. Li and Y. Du, “Channel estimation schemes for SC-FDE/FS system,” in IEEE Symposium on Computers and Communications, Jun. 2006, pp. 155-160.
[19]W. S. Enescu and M. Koivunen, “Low-complexity time-domain channel estimators for mobile wireless OFDM systems,” IEEE Workshop on Signal Processing Systems Design and Implementation, vol. 2, pp. 245-250, Nov. 2005.
[20]C.C Cheng and D.C. Chang, “Improved time-domain channel tracking algorithms for mobile OFDM applications,” in IEEE 4th VTS Asoa Pacific Wireless Communication Symposium(APWCS 2007), Hsinchu, Aug. 2007.
[21]S. Haykin, Adaptive Filter Theory, 4th ed. Englewood Cliffs, NJ: Prentice-Hall, 2001.
[22]Z.-S. Lin, T.-L. Hong, and D.-C. Chang, “Design of an OFDM system with long frame by the decision-aided channel tracking technique,” in IEEE International Conf. on Electro/information Technology, MA, May. 2006, pp. 330-333.
[23]K. N. Oh and Y. O. Chin, “Modified constant modulus algorithm: blind equalization and carrier phase recovery algorithm,” in Proc. 1995 IEEE Int. Conf. Commun., vol. 1, seattle, WA, Jun. 1995, pp. 498-502.
[24]Y. Sato, “A method of self-recovering equalization for multilevel systems,” IEEE Trans. Commun., vol. COM-23, no. 6,pp. 679-682, Jun. 1975.
[25]G. Picchi and G. Prati, “Blind equalization and carrier recovery using a “stop-and-go” decision directed algorithm,” IEEE Trans. Commun., vol. COM-35, no. 9, pp. 877-887, Sep. 1987.
[26]S. Haykin, Communication Systems, 4th ed. New York: John Wiley & Sons, Inc., 2001.
[27]L. He, M.G.. Amin, J.C. Reed, and R.C. Malkemes, “A hybrid adaptive blind equalization algorithm for QAM signals in wireless communications,” IEEE Trans. Commun., vol. 52, no. 7, pp. 2058-2069, Jul. 2004.

指導教授

張大中(Dah-Chung Chang)

審核日期

2008-7-12

推文