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博碩士論文 etd-0830107-175257 詳細資訊
Title page for etd-0830107-175257
論文名稱
Title
盲蔽式常模滑動視窗旁波帶消除器-遞迴式最小平方值演算法在DS-CDMA接收器之應用
New Blind Constant Modulus Sliding Windows GSC-RLS Algorithm for DS-CDMA Receiver with Min/Max Criterion
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
47
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
2007-06-29
繳交日期
Date of Submission
2007-08-30
關鍵字
Keywords
遞迴式最小平方值演算法、盲蔽式常模滑動視窗旁波帶消除器、遞迴式最小平方值演算法
GSC-RLS Algorithm, Blind Constant Modulus Sliding Windows, Min/Max Criterion
統計
Statistics
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中文摘要
對於無線通訊應用,直接序列展頻分碼多重接取技術為主要的多工技術之一。展頻通訊系統在通道裡利用較大的頻寬技術來傳送信號。在DS-CDMA系統中其系統效能表現主要受限於因多重接取架構而不可避免的多重接取干擾 (MAI)和多路徑衰減引起的符號間干擾 (ISI)。為了克服上述問題,許多適應性多用戶檢測器,如最小平方誤差期望值 (MMSE) 和最小輸出能量 (MOE) 被提出,而線性限制最小輸出能量 (LCMV) 是给予最小輸出能量線性限制,但線性限制最小輸出能量對因通道估測誤差產生的所謂的通道不匹配敏感。為了解決通道不匹配所造成的影響和避免當其他干擾用戶的功率比主用戶的功\率還高時誤把干擾用戶的功率當成主用戶的功\\率使用,線性限制常模法則遂被提出。
這篇論文中,在極小/極大法則下,提出結合廣義旁波帶消除器 (GSC) 架構的盲蔽式線性限制常模-遞迴式最小平方值演算法,來有效的緩和多重接取干擾和符號間干擾在時變通道下對DS-CDMA接收器所造成的影響。由於通道改變,主用戶信號的振幅或是功率無法在接收端得知,因此需要估測。為了解決這個問題,我們提出一個可以適應性的來估測常模參數的型式並結合常模廣義旁波帶消除器-遞迴式最小平方值演算法來有效的追蹤因通道改變而變動的主用戶振幅,因此在信號對干擾雜訊比 (SINR) 和位元錯誤率 (BER) 表現上比起傳統的廣義旁波帶消除器-遞迴式最小平方值演算法可以得到更佳的系統效能表現。
Abstract
The code division multiple access (CDMA) system implemented by the direct-sequence (DS) spread spectrum (SS) technique is one of the most promising multiplexing technologies for the wireless communications services. The SS communication adopts a technique of using much wider bandwidth necessary to transmit the information over the channel, and has been proposed for third generation broadband wireless access. The capacity and performance of the DS-CDMA system are mainly limited by the multiple access interference (MAI) and the inter-symbol-interference (ISI) caused by the multipath-fading channel. To circumvent the above-mentioned problems many adaptive multiuser detectors, for instance the minimum mean square error (MMSE) and the minimum output energy (MOE) criteria, subject to certain constraints, have been proposed. Since the LCMV criterion is the linearly constrained (LC) version of MOE, it is high sensitivity to the channel mismatch caused by the unreliable estimation. In order to deal with this problem, the LC constant modulus (LCCM) criterion was considered to avoid capturing the interfering user instead of the desired user when the power of interfering user is much higher than the desired user.
In this thesis, based on the Min/Max criterion we propose a novel blind LCCM recursive least-square (RLS) algorithm, with the generalized side-lobe canceller (GSC) structure, named as the CM GSC-RLS algorithm, to effectively alleviate the effect of MAI and ISI for DS-CDMA receiver, for time-varying channel. Due to the variation of channel at the receiver, the desired user amplitude or power is not available and has to be estimated. To solve this problem, we propose a simple scheme to estimate the parameter of constant modulus, adaptively, associated with the CM GSC-RLS algorithm. With the new proposed algorithm, the amplitude variation of desired user, due to changing characteristics of channel, can be tracked, effectively. Thus, better performance achievement, in terms of output signal-to-interference-plus-noise ratio (SINR) and bit error rate (BER), over the conventional GSC-RLS algorithms can be expected.
目次 Table of Contents
Acknowledgements...i
Abstract...ii
Contents...iii
List of Figures and Tables ...iv
Chapter 1 Introduction...1
Chapter 2 Conventional Adaptive DS-CDMA System with Adaptive Constrained Approaches...4
2.1 Introduction...4
2.2 Signal Model Description...4
2.3 Generalized Side-lobe Canceller - Recursive Least Square (GSC-RLS) Algorithm Based on Min/Max Criterion...6
2.4 Linearly Constrained Adaptive Constant Modulus RLS Algorithm...9
2.5 Constant modulus GSC-RLS Algorithm Based on Min/ Max Criterion...13
Chapter 3 Blind Constant Modulus Sliding Window GSC-RLS Algorithm for DS-CDMA Receiver under
Multipath fading channels...19
3.1 Introduction...19
3.2 Blind Constant Modulus Sliding Window GSC-RLS Algorithm with Min/Max Criterion...20
Chapter 4 Computer Simulation Results and Conclusions...27
4.1 Computer Simulation Results...27
4.2 Conclusions...35
References...37
參考文獻 References
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[2] Theodore S. Rappaport, Wireless Communications, Principles and Practice, 2rd Eds. Prentice Hall PTR, Upper Saddle River, NJ 07458.
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[14] B.-Y CHOI and Z. BIEN, “Sliding-windowed weighted recursive least-squares method for parameter estimation,” Electronics Letter, vol. 25, no. 20, pp. 1381-1382, Sep. 1989.
[15] M. Honig, U. Madhow and S. Verdu, “Blind adaptive multiuser detection,” IEEE Trans. on Information Theory, vol. 41, no. 4, pp. 944-960, July 1995.
[16] V. Nagesha and S. Kay, “On frequency estimation with IQML algorithm,” IEEE Trans. Signal Processing, vol. 42, no. 9, pp. 2509-2513, Sep. 1994.
[17] S. J. Chern and C. Y. Chang, “Adaptive MC-CDMA receiver with constrained constant modulus IQRD-RLS algorithm for MAI suppression,” Signal Process., vol. 83, no. 10, pp. 2209-2226, Oct. 2003.
[18] R. C. de Lamare and R. Sampaio- Neto, “Blind adaptive code-constrained constant modulus algorithm for CDMA interference suppression in multipath channels,” IEEE Commun. Lett., vol. 9,no.4,pp.334-336,April 2005.
[19] S. J. Chern and S. C. Chang, “Blind Adaptive DS-CDMA Receivers with Sliding Window Constant Modulus GSC-RLS Algorithm Based on Min/Max Criterion for Time-Variant Channels,” June 2006.
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