單載波區塊傳輸系統下之盲蔽式通道估測與同步機制｜國立臺灣科技大學博碩士論文系統

簡易檢索 / 詳目顯示

回結果列表

研究生：	蔡宗儒 Tzung-Ru Tsai
論文名稱：	單載波區塊傳輸系統下之盲蔽式通道估測與同步機制 Blind channel identification and synchronization for single-carrier block transmission system
指導教授：	曾德峰 Der-Feng Tseng
口試委員:	白宏達 Hung-Ta Pai 張立中 Li-Chung Chang
學位類別：	碩士 Master
系所名稱：	電資學院 - 電機工程系 Department of Electrical Engineering
論文出版年：	2006
畢業學年度：	94
語文別：	英文
論文頁數：	62
中文關鍵詞：	同步、通道估測、單載波、盲蔽式、區塊傳輸
外文關鍵詞：	single-carrier, block transmission, Blind, synchronization, channel identification
相關次數：	點閱：146 下載：0
分享至:	分享至facebook 分享至twitter

查詢本校圖書館目錄查詢臺灣博碩士論文知識加值系統勘誤回報

上一筆

對任何通訊系統而言，提升傳輸率所要面對的
第一個問題就是非理想通道的干擾。特別是在高
速、高頻寬的場合，通道響應往往更加地複雜，干
擾也更嚴重。為此我們將介紹一種盲蔽式的通道辨
識方法，應用於單載波區塊傳輸系統的等化與同步
機制。此通道辨識法是藉由子空間(sub-space)演算法
配合特徵值分析來求得通道的響應，同時也推導出
其唯一解之充分且必要條件。而依接收訊號的位移
產生的特徵值變化可以幫助我們判斷訊號是否同
步、完成同步的工作。

By advance of communication system, channel response acts a key point for
increasing the transmission rate. An efficient blind channel identification and
synchronization method is introduced here for equalization and synchronization in
single carrier block transmission system by means of subspace algorithm. The channel
impulse response (CIR) is acquired from Singular Value Decomposition (SVD) of the
auto-correlation matrix by observing a small amount of data records. We also
demonstrate the necessary and sufficient condition of subspace algorithm to proof the
CIR we obtained is correct. The singular-values variation between different delay is
suitable for evaluating the received signal is synchronized or not.

摘要........................................................i
Abstract....................................................ii
誌謝........................................................iii
Figure & Table list.........................................vi
I Introduction..............................................1
  I.I Motivation............................................1
  I.II Chapter brief........................................1
II Systems architecture.....................................3
  II.I Architecture of our system...........................4
    II.I.I Transmitter......................................5
    II.I.II Receiver........................................6
  II.II Zero padding system.................................8
III Algorithms analysis.....................................10
  III.I Blind channel identification........................10
    1. Fractional sampling..................................10
    2. Redundancy padding...................................11
    III.I.I The channel identification algorithm we used....11
    III.I.II Channel identification algorithm in ZP system..26
  III.II Blind synchronization..............................27
    III.II.I Synchronization algorithm we used..............27
    III.II.II Synchronization algorithm in ZP system........36
IV Simulation results.......................................37
  IV.I No channel zero locates at the roots of xM 1.......38
  IV.II A channel zero locates at the roots of xM 1.......45
  IV.III Random channel generation..........................50
  IV.IV Order of channel is larger than P...................55
V Conclusion................................................60
Reference...................................................61
                                

1 E. Moulines, P. Duhamel, J. F. Cardoso, S. Mayrague, “Subspace methods for the
blind identification of multichannel FIR filters,” IEEE Trans. Signal processing,
vol. 43, no. 2, Feb. 1995, pp. 516-525

2 X. Zhuang, Z. Ding, A. L. Swindlehurst, “A statistical subspace method for blind
channel identification in OFDM communications,” IEEE Int. Conf. Acoustics,
Speech, and Signal processing, vol. 5, Jun. 2000, pp. 2493-2496

3 R. Zhang, “Blind OFDM channel estimation through linear precoding: A subspace
approach”, Asilomar Conf. Signals, Systems and Computers, vol. 1, Nov. 2002, pp.
631-633

4 X. Cai, A. N. Akansu, “A subspace method for blind channel identification in
OFDM systems,” IEEE Int. Conf. Communications, vol. 2, Jun. 2000, pp. 929-933

5 A. Scaglione, G. B. Giannakis, S. Barbarossa, “Redundant filterbank precoders
and equalizers Part II: Blind channel estimation, synchronization, and direct
equalization,” IEEE Trans. Signal processing, vol. 47, no. 7, Jul. 1999, pp.
2007-2022

6 J. G, Proakis, Digital communications, 4th ed., McGRAW-HILL, 2001

7 Digital Video Broadcasting (DVB); Framing structure, channel coding and
modulation for digital terrestrial television, ETSI standard EN 300 744

8 H. Holma, A. Toskala, WCDMA FOR UMTS, Radio Access for Third Generation
Mobile Communications, 3rd ed., John Wiley & Sons, 2004

9 D. Falconer, S. Lek Ariyavisitakul, A. B. Seeyar, B. Eidson, ”Frequency domain
equalization for single-carrier broadband wireless system,” IEEE Mag.
Communications, vol. 40, no. 4, Apr. 2002, pp. 58-66

10 A. Scaglione, G. B. Giannakis, S. Barbarossa, “Redundant filterbank precoders
and equalizers Part I: Unification and optimal designs,” IEEE Trans. Signal
processing, vol. 47, no. 7, Jul. 1999, pp. 1988-2006

11 S. Ryo, C. Li, “A subspace blind channel estimation method for OFDM system
without cyclic prefix,” IEEE Trans. Wireless communications, vol. 1, no. 4, Oct.
2002, pp. 572-579

12 B. Muquet, M. de Courville, P. Duhamel, “Subsapce-based blind and semi-blind
channel estimation for OFDM systems,” IEEE Trans. Signal processing, vol. 50,
no. 7, Jul. 2002, pp. 1699-1712

13 A. V. Oppenheim, R. W. Schafer, J. R. Buck, Discrete-time Signal Processing, 2nd
ed., Prentice-Hall, 1999

14 S. J. Leon, Linear Algebra with Applications, 6th ed., Prentice-Hill, 2002

15 G. H. Golub, C. F. van Loan, Matrix Computation, 3rd ed., Johns Hopkins, 1996

16 L. Tong, S. Perreau, “Multichannel blind identification: From subspace to
maximum likelihood methods,” Proc of the IEEE, vol. 86, no. 10, Oct. 1998, pp.
1951-1968

全文公開日期 2011/07/14 (校內網路)
全文公開日期本全文未授權公開 (校外網路)
全文公開日期本全文未授權公開 (國家圖書館：臺灣博碩士論文系統)

簡易檢索 / 詳目顯示

相關論文