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博碩士論文 etd-0704103-002831 詳細資訊
Title page for etd-0704103-002831
論文名稱
Title
應用滑動視窗遞回最小平方演算法於DS-CDMA系統之適應性耙式多用戶接收機
Adaptive Rake Multiuser Receiver with Linearly Constrained Sliding Window RLS Algorithm for DS-CDMA 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
51
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
滑動視窗、遞回最小平方演算法、直序式分碼多工系統、耙式多用戶接收機、強窄頻干擾、適應性濾波器
Sliding Window, Adaptive Filter, Recursive Least Squares, RAKE Multiuser Detector, Narrow Band Interference, DS-CDMA System
統計
Statistics
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中文摘要
近來由於直序式分碼多工系統被廣泛的注意以及討論。在本篇論文中,我們考慮當一個強窄頻干擾訊號突然加入直序式分碼多工系統對系統的影響。這種突然加入的強窄頻干擾訊號會造成系統效能嚴重的衰減。而本論文主要考慮對這種突然加入的強窄頻干擾訊號消除。
在激烈變動的環境中,基於滑動視窗法則以及變動遺忘因子法則的適應性演算法具有很好的效能。本論文提出了滑動視窗限制性遞回最小平方演算法以及變動遺忘因子限制性遞回最小平方演算法應用於參考文獻 [9] 中所提及的採用修正型最小均方誤差技術的耙式接收機於直序式分碼多工系統受到多重路徑雷利衰減的環境中。本論文提出了滑動視窗限制性遞回最小平方演算法以及變動遺忘因子限制性遞回最小平方演算法具有較快的收斂能力和較佳的追蹤能力的優點,能被應用於對抗突然加入的強窄頻干擾訊號對系統的影響且能提供較佳的系統效能。從我們的電腦模擬結果中能證明我們所提出的演算法相較於傳統限制性遞回最小平方演算法以及限制性最小軍方直演算法有更加的效能。

Abstract
The technique of direct sequence code division multiple access (DS-CDMA) cellular system has been the focus of increased attention. In this thesis, we will consider the environment of DS-CDMA systems, where the asynchronous narrow band interference due to other systems is joined suddenly to the CDMA system. The suddenly joined narrow band interference will make the system crush down. The main concern of this thesis is to deal with suddenly joined narrow band interference cancellation.
An adaptive filtering algorithm based on sliding window criterion and variable forgetting factor is known to be very attractive for violent changing environment. In this thesis, a new sliding window linearly constrained recursive least squares (SW LC-RLS) algorithm and variable forgetting factor linearly constrained recursive least squares (VFF LC-RLS) algorithm on the modified minimum mean squared error (MMSE) structure [9] is devised for RAKE receiver in direct sequence code-division multiple access (DS-CDMA) system over multipath fading channels. Where the channel estimation scheme is accomplished at the output of adaptive filter. The proposed SW LC-RLS algorithm and VFF LC-RLS has the advantage of having faster convergence property and tracking ability, and can be applied to the environment, where the narrow band interference is suddenly joined to the system, to achieve desired performance. Via computer simulation, we show that the performance, in terms of mean square errors (MSE) and signal to interference plus noise ratio (SINR), is superior to the conventional LC-RLS and orthogonal decomposition-based LMS algorithms based on the MMSE structure [9].

目次 Table of Contents
Contents
Acknowledgement i
Abstract ii
Contents iii
List of Figures and Tables v
Chapter 1 Introduction 1
Chapter 2 Description of DS-CDMA System Models
2.1 Introduction 3
2.2 CDMA System Model Under Multipath Fast Fading
Channel Environment 3
2.3 Rake Receiver for DS-CDMA System 7
Chapter 3 Conventional Adaptive Rake Receiver Algorithms for DS-CDMA Systems
3.1 Introduction 12
3.2 Adaptive Multiuser RAKE Receiver 13
3.3 Orthogonal Decomposition-Based LMS Algorithm 17
3.4 Linearly Constrained RLS Algorithm 19
Chapter 4 Adaptive Rake Receiver with Linearly Constrained Sliding Window RLS Algorithm for DS-CDMA Multiuser Systems
4.1 Introduction 25
4.2 Variable Forgetting Factor Linearly Constrained RLS Algorithm 26
4.3 Sliding Window Linearly Constrained RLS Algorithm 29
4.3.1 Sliding Window RLS Algorithm 29
4.3.2 Linearly Constrained Approach 35
4.4 Computer Simulation Results 39
Chapter 5 Conclusions 49
References 50
參考文獻 References
References
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[9]S. R. Kim, Y. G. Jeong and I. K. Choi, “A Constrained MMSE Receiver for DS/CDMA Systems in fading channels,” IEEE Trans. on Communication, vol. 48, no. 11, pp. 1793-1796, Nov. 2000.
[10]S. R. Kim, Y. G. Jeong, I.-K. Choi and S. Lee, “An Adaptive Pilot Symbol-Aided MMSE Receiver in fading channels,” IEEE International Conference on Communications, vol. 1, pp. 555-558, 1999.
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[14]W. S. Hou, L. M. Chen and B. S. Chen, “Adaptive Narrowband Interference Rejection in DS-CDMA Systems: A Scheme of Parallel Interference Cancellers,” IEEE Journal on Selected Areas in Communication, vol. 19, no. 6, pp.1103-1114, June 2001.
[15]J. Luo, C. Davis and D. Ho, “Performance study on adaptive LMS Filter to NBI Rejection in CDMA Signals,” Proceedings of IEEE ICSP2000, vol. 1, pp. 193 –196, 2000.
[16]B.-Y. CHOI and Z. BIEN, “Sliding-Windowed Weighted Recursive Least-Squares Method for Parameter Estimation,” Electronics Letters, vol. 25, no. 20, pp. 1381-1382, Sep. 1989.
[17]L. S. Resende, J. Marcos, T. Romano and Maurice G., “A FAST Least-Squares Algorithm for Linearly Constrained Adaptive Filtering,” IEEE Trans. on Signal Processing, vol. 44, no.5, pp. 1168-1174, May 1996.
[18]S. Song, J. S. Lim, S. J. Baek, K. M. Sung, “Gauss Newton Variable Forgetting Factor Recursive Least Squares for Time Varying Parameter Tracking,” IEEE Electronics Letters, vol. 36, pp. 988-990, May 2000.
[19]S. Song, J. S. Lim, S. J. Baek, K. M. Sung, “Variable Forgetting Factor Linear Least Squares Algorithm for Frequency Selective Fading Channel Estimation,” IEEE Transactions on Vehicular Technology, vol. 51, no. 3, May 200.
[20]S. Hayhin, Adaptive Filter Theory, 4rd Eds. Prentice-Hall, New Jersey, 2002.
[21]T. S. Rappaport, Wireless Communications, Prentice-Hall, New Jersey, 1996.


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