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博碩士論文 etd-0713104-140618 詳細資訊
Title page for etd-0713104-140618
論文名稱
Title
適應性天線陣列應用於寬頻正交分頻多工系統之研究
Wideband Adaptive Array Applied to OFDM System
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
74
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
2004-07-06
繳交日期
Date of Submission
2004-07-13
關鍵字
Keywords
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
Moving Jammer, Sliding Window, Recursive Least Squares, Beamspace, Adaptive Filter, OFDM System
統計
Statistics
本論文已被瀏覽 5717 次,被下載 19
The thesis/dissertation has been browsed 5717 times, has been downloaded 19 times.
中文摘要
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。
Abstract
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.
目次 Table of Contents
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
參考文獻 References
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