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研究生:黃仁煌
研究生(外文):Ren-Huang Huang
論文名稱:適應性天線陣列應用於寬頻正交分頻多工系統之研究
論文名稱(外文):Wideband Adaptive Array Applied to OFDM System
指導教授:陳巽璋
指導教授(外文):Shiunn-Jang Chern
學位類別:碩士
校院名稱:國立中山大學
系所名稱:電機工程學系研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:英文
論文頁數:74
中文關鍵詞:波束空間移動干擾遞回最小平方演算法適應性濾波器正交分頻多工系統滑動視窗
外文關鍵詞:Moving JammerSliding WindowRecursive Least SquaresBeamspaceAdaptive FilterOFDM System
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正交分頻多工的技術已經被廣泛地應用在數位式無線通訊系統中,像數位廣播和無線區網;此技術在寬頻無線傳輸多工系統中,能夠對抗多重路徑干擾和多重存取干擾的問題。此外,在空間上的處理上,是利用到智慧型天線之空間分集的觀念,不用額外地考慮頻率分集,將適應性天線應用於此系統,可以增加系統的容量、及效能;由於智慧型天線,使得系統能充分地利用空間分集。為了改善系統於存在窄頻及寬頻干擾、頻率選擇性衰落的環境下的效能,我們必須消除干擾,在本論文中,我們在寬頻系統中利用使用限制性滑動性視窗遞迴式演算法於波束空間天線成型器,以及應用智慧型天線於正交分頻多工系統,在電腦模擬中可以得知我們所使用的方式能比傳統的方式有效地改善系統效能。
Orthogonal frequency division multiplexing (OFDM) technique has been extensively used in digital wireless communications, such as Digital Broadcasting and wireless local area network (WLAN). It is considered to be one of the most promising techniques for transmission on the downlinks of broadband wireless access systems to combat multipath and multiple access interference (MAI). Spatial processing that exploits the diversity provided by smart antenna (SA) or intelligent antenna (IA) arrays, in which the adaptive beamformer is employed, is another alternatives to increase the efficiency of wireless system capacity and performance without allocating additional frequency spectrum. It allows the system to make full use of spatial diversity due to multiple antennas [5][6]. To further improve the performance for suppressing various interference sources; including narrowband and wideband interference, flat and frequency selective fading, for different channel environmentin. In this thesis, a smart antenna with wideband beamspace approach array beamformer associated with the slideing window (SW) linearly constrained RLS (SW-LC-RLS) algorithm, and the OFDM systems with smart antenna array are emhasized. Computer simulation results confirmed that our proposed scheme could achieve desired performance compared with the conventional approach, in terms of MAI and other interference suppression.
Contents

Acknowledgement
Abstract
Contents
List of Figures
List of Tables

Chapter 1 Introduction

Chapter 2 Smart Antenna Arrays Beamformer

2.1 Introduction
2.2 Signal Model of Antenna Array
2.3 Smart Antenna Array Beamforming Techniques
2.3.1 Optimal Antenna Array Beamformers
2.3.2 Optimal Linearly Constraint Minimum Variance
Beamformer
2.4 Adaptive Linearly Constraint Beamforming Algorithm
2.4.1 Linearly Constrained Least Mean Square Algorithm
2.4.2 Linearly Constrained Recursive Least Squares
Algorithm

2.4.3 Sliding Window Linearly Constrained Recursive Least Squares Algorithm
2.5 Adaptive Beamformer Array with Beamspace Approaches
2.5.1 The Concept of Beamspace Structure
2.5.2 Spectral Transformations
2.5.3 Design Procedure for Fan Filters
2.5.4 Adaptive Beamspace Array Beamformer with FIR
Fan Filter for Wideband Signals
2.5.5 Adaptive Least Mean Square (LMS) Beamspace
Array Beamforming Algorithm
2.5.6 Adaptive Linearly Constrained Beamspace Array
Beamforming Algorithm
2. 6 Simulation Results and Examples of Designing a Fan
Filter
2.6.1 Examples of Designing a Fan Filter
2.6.2 Simulation Results 30
Chapter 3 OFDM Systems with Smart Antenna Array Beamformer
3.1 Overview of OFDM Systems
3.2 OFDM Systems Structure
3.3 Adaptive Beamforming for OFDM Systems
3.4 Adaptive Beamforming Algorithm for OFDM Systems
3.4.1 Block LMS algorithm
3.4.2 Block RLS algorithm
3.4.3 Adaptive Beamspace with Block LMS Algorithm
Applied to OFDM System
3.5 Computer Simulation Results
Chapter 4 Conclusions and Future Study
Appendix A
Appendix B
References
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