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博碩士論文 etd-0704103-010244 詳細資訊
Title page for etd-0704103-010244
論文名稱
Title
利用適應性限制濾波技術結合直接延遲估測公式之最大權重值做直接序列展頻系統之展頻碼同步研究
Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Technique with Direct-Delay-Estimation Formula
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
60
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
2003-06-24
繳交日期
Date of Submission
2003-07-04
關鍵字
Keywords
限制性最小均方值演算法、展頻碼同步、平均獲取時間、最小均方值演算法
PN Code Synchronization, LMS Algorithm, Constrained LMS Algorithm, Mean Acquisition Time
統計
Statistics
本論文已被瀏覽 5701 次,被下載 15
The thesis/dissertation has been browsed 5701 times, has been downloaded 15 times.
中文摘要
直接序列展頻的技術現已廣泛地應用在商業行動通訊系統上。直接序列展頻系統的效能大大地仰賴在本地端與接收端展頻碼之快速且精準的同步。展頻碼的同步一般可分為兩個步驟,展頻碼獲取(粗調)及展頻碼追蹤(細調),利用此兩種步驟去補償展頻碼之間的延遲偏差。在傳統的展頻碼同步實現上,大部份被提出的技術都是採用展頻碼的相關特性來完成。近年來,有人提出以適應性最小均方值演算法的方式來降低硬體複雜度及改善系統的效能,尤其是對於長的展頻碼而言。
本論文提出了一個新的同調適應性展頻碼同步系統。此系統是採用適應性限制最小均方值演算法並搭配最大權重值的方式來做展頻碼的獲取。藉著本論文採用之適應性限制最小均方演算法其權重值向量的統計值能能被推導出來並藉由平均獲取時間來評估系統的效能。理論分析及模擬的結果驗證了本論文所提出的方法在整數及非整數時間延遲上優越於使用傳統的最小均方值演算法。除此之外,在展頻碼獲取中不受訊雜比值及非整數時間延遲影響的門限設定值能被推導出來。
接著,採用本論文所提之適應性限制最小均方值演算法的技術並搭配直接延遲估測公式可應用在展頻碼的追蹤。藉由電腦的模擬驗證了本論文所提出之方法確實可以達到良好的延遲追蹤效能。相對於傳統的展頻碼追蹤迴路則是需要利用內插法來實現展頻碼追蹤,因此硬體複雜度能被降低。
Abstract
The technique of direct sequence spread spectrum (DS/SS) has been widely used in commercial mobile communication systems. The efficiency of DS/SS system is highly dependent on the accurate and fast synchronization between the incoming and locally generated PN (pseudo-noise) codes. The code synchronization is processed in two steps, acquisition (coarse alignment) and tracking (fine alignment), to bring the delay offset between the two codes. Conventionally, for code synchronization, most of techniques were proposed based on the correlation property of PN codes. Recently, the different approach, by using the adaptive LMS filtering scheme, has been proposed to reduce the hardware complexity and to improve the performance of code synchronization, especially for a long PN code.
In this thesis, a new coherent adaptive code synchronization scheme is proposed, where the adaptive constrained LMS (CLMS) algorithm with the maximum tap-weight (MTW) test method is devised for code acquisition. The statistics of weight vector of the proposed CLMS scheme are derived to evaluate the performance, in terms of mean acquisition time (MAT). Analytical and simulation results verify that the proposed scheme for code acquisition outperforms the one using the conventional LMS filtering schemes, under the integer and non-integer time delay cases. Moreover, the setting of threshold value is derived for code acquisition, which is independent of the values of signal-to-noise ratio (SNR) and time delay.
Next, the CLMS scheme is proposed associated with the direct delay estimation (DDE) formula for code tracking. This approach does achieve a good delay-tracking performance, which is verified via computer simulation. Simultaneously, the hardware complexity can further be reduced due to that a code-tracking loop implemented by the interpolation method is not required.
目次 Table of Contents
Acknowledgement i
Abstract ii
Contents iii
List of Figures v
Chapter 1 Introduction 1
Chapter 2 Conventional Code Synchronization Technique in DS/SS Systems
2.1 Introduction 4
2.2 Signal Model and System Description 5
2.2.1 A Matched Filter Technique for PN Code Acquisition 7
2.2.2 Delay Lock Loop Technique for PN Code Tracking 9
Chapter 3 Adaptive Constrained Filtering Technique for Code Synchronization
in DS/SS Systems
3.1 Introduction 17
3.2 Conventional Adaptive LMS Filtering Algorithm for Code
Synchronization in DS/SS systems 18
3.2.1 Signal Model and System Description 18
3.2.2 Mean Square Error (MSE) Test Method for Code Acquisition 20
3.2.3 Maximum Tap Weight (MTW) Test Method for
Code Acquisition 23
3.3 Adaptive Constrained LMS Filtering Algorithm for Code Synchronization
in DS/SS Systems 27
3.3.1 Statistical Analysis for System Probabilities and
Mean Acquisition Time 28
3.3.2 Statistics of Weight Vector 28
3.3.3 System Probabilities and Mean Acquisition Time 37
3.3.4 Practicable Threshold Value Setting for Code Acquisition 38
3.3.5 Direct Delay Estimation (DDE) Formula for Code Tracking 42
3.4 Computer Simulation Results 43
Chapter 4 Conclusions 48
Appendix A 50
Appendix B 55
Appendix C 57
References 59
參考文獻 References
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