Responsive image
博碩士論文 etd-0704103-002922 詳細資訊
Title page for etd-0704103-002922
論文名稱
Title
利用適應性限制性常模共軛梯度演算法之多用戶直接序列分碼多工檢測器之研究
Adaptive Linearly Constrained Constant Modulus Conjugate Gradient Algorithm with Applications to Multiuser DS-CDMA Detector for Multipath Fading Channel
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
49
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
2003-06-29
繳交日期
Date of Submission
2003-07-04
關鍵字
Keywords
多重路徑衰落通道、多用戶耙式接收器、線性限制性常模之修正型共軛梯度演算法、多用戶接取干擾、廣義旁波帶消除器、通道不匹配
LCCM-MCG Algorithm, Multiple Access Interference, Multipath Fading Channel, Multiuser RAKE Receiver, Channel Mismatch, Generalized Sidelobe Canceller
統計
Statistics
本論文已被瀏覽 5643 次,被下載 0
The thesis/dissertation has been browsed 5643 times, has been downloaded 0 times.
中文摘要
直接序列分碼多工(DS-CDMA)技術為目前無線通訊系統中多重同時傳輸所採用的重要技術之一。而本論文目的是提出一個新的線性限制性常模之修正型共軛梯度(LCCM-MCG)適應性濾波器演算法,來抑制在直接序列分碼多工系統,以及多重路徑衰落通道環境下之多用戶接取干擾(MAI),並處理因通道係數估測不準確所造成通道不匹配(channel mismatch)的問題。事實證明,以共模準則之適應性濾波器演算法的確能有效降低因不完美通道係數估測所造成的影響。在本論文中所推導出線性限制性常模之修正型共軛梯度演算法,係根據廣義旁波帶消除器(GSC)架構推得,而此種方法具有較好的穩定性,且比一般的最小平方和演算法(RLS)的計算複雜度低,除此之外,其可用於多用戶之耙式(RAKE)接收器中,達到不錯的效果。而這種修正型共軛梯度演算法(MCG)對於每個時間取樣的輸入資料,其權重更新只需要一次遞回疊代,且具有與最小平方和演算法差不多的效能表現。由電腦模擬的結果顯示,可以驗證我們提出的線性限制性常模之修正型共軛梯度演算法具有快速收斂特性,且能夠有效克服通道估測不匹配所造成的效應。當電腦模擬以位元錯誤率(BER)為效能表現指標時,我們可以發現線性限制性常模之修正型共軛梯度演算法的表現與線性限制性常模之最小平方和演算法(LCCM-RLS)[18]幾乎一樣,且其優於以最小輸出功率(MOE)準則導出之統計性梯度下降(SGD)演算法[7]。

Abstract
The direct-sequence code division multiple access (DS-CDMA) is one of the significant techniques for wireless communication systems with multiple simultaneous transmissions. The main concern of this thesis is to propose a new linearly constrained constant modulus modified conjugate gradient (LCCM-MCG) adaptive filtering algorithm to deal with problem of channel mismatch associated with the multiple access interference (MAI) in DS-CDMA system over multipath fading channel. In fact, the adaptive filtering algorithm based on the CM criterion is known to be very attractive for the case when the channel parameters are not estimated perfectly. The proposed LCCM-MCG algorithm is derived based on the so-called generalized sidelobe canceller (GSC). It has the advantage of having better stability and less computational complexity compared with conventional recursive least-squares (RLS) algorithm, and can be used to achieve desired performance for multiuser RAKE receiver. Moreover, with the MCG algorithm it requires only one recursive iteration per incoming sample data for updating the weight vector, but still maintains performance comparable to the RLS algorithm. From computer simulation results, we show that the proposed LCCM-MCG algorithm has fast convergence rate and could be used to circumvent the effect due to channel mismatch. Also, the performance, in terms of bit error rate (BER), is quite close to the LCCM-RLS algorithm suggested in [18], and is superior to the stochastic gradient descent (SGD) algorithm proposed in [7].

目次 Table of Contents
Acknowledgement…………………………………………i
Abstract…………………………………………………ii
Contents…………………………………………………iii
List of Figures and Tables……………………………………………………v
Chapter 1 Introduction…………………………………………………………1
Chapter 2 Conventional Multiuser Detectors for DS-CDMA System over Multipath Fading Channel
2.1 Introduction………………………………………………………………5
2.2 Overview of DS-CDMA System and Problem Description……………7
2.3 System Model Description……………………………………………10
2.4 RAKE Diversity and Multiuser Detectors with Adaptive Algorithms Based on Minimum Output Energy (MOE) Criterion…………………14
2.4.1 RAKE Diversity………………………………………………15
2.4.2 Stochastic Gradient Descent Algorithm Based on Minimum Output Energy Criterion………………………………………16
2.4.3 Linear Constrained Recursive Least-Squares Algorithm……17
2.4.4 Linear Constrained Modified Conjugate Gradient Algorithm…19
Chapter 3 Adaptive Multiuser Detector with LC Constant Modulus Modified Conjugate Gradient Algorithm
3.1 Introduction……………………………………………………………23
3.2 Linear Constrained Constant Modulus Recursive Least-Squares Algorithm………………………………………………………………24
3.3 Linear Constrained Constant Modulus Modified Conjugate Gradient Algorithm………………………………………………………………26
3.4 Computer Simulation Results…………………………………………33
Chapter 4 Conclusions……………………………………………………………42
Appendix A……………………………………………………………44
Appendix B……………………………………………………………46
References………………………………………………47
參考文獻 References
[1] E. Nikula et al., “Frames Multiple Access for UMTS and IMT-2000,” IEEE Personal Commn., vol. 5, no. 2, pp.16-24, Apr. 1998.
[2] M. Zeng and V. Bhargava, “Recent Advances in Cellular Wireless Communications,” IEEE Commn. Mag., vol. 37, no. 9, pp. 128-138, Sept. 1999.
[3] T. S. Rappaport, Wireless Communications : Principles & Practice, Englewood Cliffs, NJ: Prentice-Hall, 1996.
[4] R. L. Peterson, R. E. Ziemer, and D. E. Borth, Introduction to Spread Spectrum Communications, Englewood Cliffs, NJ: Prentice-Hall, 1995.
[5] S. Verd´u, Mutiuser Detection, Cambridge Univ. Press, New York, 1998.
[6] O. L. Frost III, “An Algorithm for Linearly Constrained Adaptive Array Processing,” IEEE Proc., vol. 60, pp. 926-935, Aug. 1972.
[7] M. Honig, U. Madhow, and S. Verd´u, “Blind Adaptive Multiuser Detection,” IEEE Trans. Inform. Theory, vol. 41, no. 4, pp. 944–960, July 1995.
[8] H. Liu and K. Li, “A Decorrelating RAKE Receiver for CDMA Communications over Frequency-Selective Fading Channels,” IEEE Trans. Commun., vol. 47, no. 7, July 1999.
[9] J. B. Schodorf and D. B. Williams, “A Constrained Optimization Approach to Multiuser Detection,” IEEE Trans. Signal Processing, vol. 45, no. 1, pp. 258-262, Jan. 1997.
[10] X. Wang and H. V. Poor, “Blind Multiuser Detection: A Subspace Approach,” IEEE Trans. Inform. Theory, vol. 44, no. 2, pp. 677-690, Mar. 1998.
[11] J. Miguez and L. Castedo, “A linearly Constrained Constant Modulus Approach to Blind Adaptive Multiuser Interference Suppression,” IEEE Commun. Lett., vol. 2, no. 8, pp. 217-219, Aug. 1998.
[12] S. Haykin, Adaptive Filter Theory, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.
[13] H. V. Poor and X. Wang, “Code-Aided Interference Suppression for DS/CDMA Communications-Part II: Parallel Blind Adaptive Implementations,” IEEE Trans. Commun., vol. 45, no. 9, pp. 1112-1122, Sep. 1997.
[14] U. Meahow and M. Honing, “MMSE Interference Suppression for Direct-Sequence Spread Spectrum CDMA,” IEEE Trans. Commun., vol. 42, no. 12, pp. 3178-3188, Dec. 1994.
[15] J. F. Weng and T. Le-Ngoc, “RAKE Receiver Using Blind Adaptive Minimum Output Energy Detection for DS/CDMA over Multipath Fading Channels,” IEE
Proc. Commun., vol. 148, no. 6, pp. 385-392, Dec. 2001.
[16] R. S. C. Wong, A. A. Jr, and V. K. Bhargava, “Evaluation of Predetection Diversity Techniques for RAKE Receivers,” IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, vol. 1, pp. 227-230, Aug. 1997.
[17] C. H. Sun, S. J. Chern and J. N. Li, “Blind Adaptive Multiuser Detection for DS-CDMA Systems with Linear Constrained Inverse QRD-RLS Algorithm,” The 6th International Symposium on Communications, National Cheng Kung University, Tainan, Taiwan, R.O.C., Nov. 13-16, 2001, session 13-1.
[18] C. H. Sun, S. J. Chern, and J. N. Li, “Adaptive Multiuser RAKE Detector for DS-CDMA System with Constant Modulus Linear Constrained IQRD-RLS Algorithm,” IEEE ISPACS’ 02, Ambassador Hotel, Kaohsiung Taiwan, R.O.C. pp. 17-21, Nov. 21-24, 2002.
[19] P. Yuvapoositanon and J. A. Chambers, “A CMOE-CMA RAKE Receiver Structure for Near-Far Frequency-Selective Fading CDMA Channels,” IEEE Sixth International Symposium on Signal Processing and its Applications, vol. 2, pp. 418-421, Aug. 2001.
[20] G. K. Boray and M. D. Srinath, “Conjugate Gradient Techniques for Adaptive Filtering, ”IEEE Trans. Circuits Sys. I, vol. 39, no.1, pp. 1-10, Jan. 1992.
[21] P. S. Chang and A. N. Willson, Jr., “Adaptive Spectral Estimation Using the Conjugate Gradient Algorithm” Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, Atlanta, pp. 2979-2982, May 1996.
[22] P. S. Chang and A. N. Willson Jr., “Analysis of Conjugate Gradient Algorithm for Adaptive Filtering,” IEEE Trans. Signal Processing, vol. 48, no.2, pp. 409-418, Feb. 2000.
[23] D. G. Luenberger, Linear and Nonlinear Programming, 2nd ed. Reading, MA: Addison-Wesley, 1984.
[24] J. A. Apolinário, Jr., M. L. R. de Campos, and C. P. Bernal O., “The Constrained Conjugate Gradient Algorithm,” IEEE Signal Processing, vol. 7, no. 12, pp. 351-354, Dec. 2000.
[25] R. Fletcher, Practical Methods of Optimization, 2nd ed. Chichester, U. K.: Wiley, 1987.
[26] D. F. Shanno, “Conjugate Gradient Methods with Inexact Searches,” Math. Oper. Res., vol. 3, pp. 244-256, Aug. 1978.
[27] M. Al-Baali, “Descent Property and Global Convergence of Fletcher-Reeves Method with Inexact Line Search,” IMA. J. Numer. Anal., vol. 5, pp. 121-125, Jan. 1985.
[28] R. V. Nee and R. Prasad, OFDM Wireless Multimedia Communications. Boston: Artech House, 2000.
[29] A. Al-Bayati and S. Prasad, “Modified Constant Modulus Algorithm for Blind DS/CDMA Detection,” Electron. Lett., pp. 2005-2006, vol. 35, no.23, Nov. 1999.
[30] S. J. Yeom and Y. W. Park, “Multiuser Detection Using CMA & the Cancellation Method in Fast-Fading Channels,” IEEE Vehicular Technology Conference, vol. 6, pp. 2844-2848, 2000.
[31] J. F. Weng, G. Q. Xue, T. Le-Ngoc, and S. Tahar, “Multistage Interference Cancellation with Diversity Reception for QPSK Asynchronous DS-CDMA System over Multipath Fading Channels,” proc. of ICC99, Vancouver, Canada, June 1999.
[32] Steven J. Leon, “Linear Algebra with Applications,” 5th ed. Englewood Cliffs, NJ: Prentice-Hall, 1998.
[33] L. J. Griffiths and C. W. Jim, “An Alternative Approach to Linearly Constrained Adaptive Beamforming,” IEEE Trans. Antennas Propagat., vol. AP-30, pp. 27-34, Jan. 1982.
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:校內校外均不公開 not available
開放時間 Available:
校內 Campus:永不公開 not available
校外 Off-campus:永不公開 not available

您的 IP(校外) 位址是 3.144.12.205
論文開放下載的時間是 校外不公開

Your IP address is 3.144.12.205
This thesis will be available to you on Indicate off-campus access is not 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