子空間方法應用於向下鏈結多載波分碼多重進接系統頻率偏移估測之探討

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姓名

蔡竣傑(Jun-Jie Tsai) 查詢紙本館藏

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通訊工程學系

論文名稱

子空間方法應用於向下鏈結多載波分碼多重進接系統頻率偏移估測之探討
(Study on Subspace-based Approaches of Frequency Offset Estimation for Multi-carrier CDMA Downlink)

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摘要(中)

在頻率選擇性衰退通道下，為了消除因頻率偏移所造成向下鏈結多載波分碼多重進階系統中子載波間正交性的破壞，我們探討頻率偏移的估測方法。在這裡我們利用向下鏈結多載波分碼多重進階系統的訊號模型去推導以ESPRIT為基礎的子空間頻率偏移估測方法來當作我們在這個架構下的估測器。本篇論文採用的這些高解析度的子空間演算法並不需要額外的訊號就提供較精準的估測，即是ESPRIT和它的變形。最後我們將會把fordward-backward averaging和smoothing的技巧與傳統的ESPRIT做結合來使得頻率偏移的估測更為精確。

摘要(英)

In order to reduce the effect of the lost of orthogonality among the subcarriers due to the carrier frequency offset, we investigate the frequency offset estimations for the MC-CDMA downlink system over a frequency-selective fading channel. We used the structure of the MC-CDMA signal to derive the subspace-based estimation algorithms as the frequency offset estimators.
These subspace-based algorithms offer the accuracy of a super resolution subspace method without using additional signals, viz. ESPRIT and its variants. We will combine the forward-backward averaging and smoothing techniques with these subspace-based algorithms for the accuracy of frequency offset estimation.

關鍵字(中)

★ 頻率偏移
★ 多載波分碼多重進階系統

關鍵字(英)

★ ESPRIT
★ Unitry-ESPRIT

論文目次

Contents
Contents I
List of Figures III
List of Tables VI
Chapter 1 Introduction 1
Chapter 2 MC-CDMA Downlink Model 3
2.1 MC-CDMA Downlink System Mode 3
2.2 The characteristic of multipath fading channels 6
2.3 MC-CDMA Downlink Signal Mode 10
Chapter 3 Frequency Offset Estimation Algorithm 13
3.1 Standard Subspace-based Algorithm 14
3.1.1 LS-ESPRIT Algorithm 16
3.1.2 TLS-ESPRIT Algorithm 20
3.1.3 Unitary-ESPRIT Algorithm 21
3.2 Frequency Offset Estimation Algorithms 24
3.2.1 ESPRIT-Based Algorithm 26
3.2.2 Unitary-ESPRIT-Based Algorithm 29
3.2.3 Estimation of the Frequency Offset 30
3.3 ESPRIT-like Algorithm 32
3.3.1 Least Squares version 32
3.3.2 Total Least Squares version 34
Chapter 4 Simulation Result and Discussion 36
4.1 The performance of the estimators under periodic spreading code structure 38
4.1.1 User Constraint 38
4.1.2 Selection of K 44
4.1.3 The performance of ESPRIT-based Algorithms 46
4.2 The performance of the estimators under Non-periodic spreading code structure 48
4.2.1 User Constraint 48
4.2.2 Selection of K 53
4.2.3 The performance of ESPRIT-based Algorithms 55
Chapter 5 Conclusion 59
Reference 60

參考文獻

Reference
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指導教授

陳永芳(Yung-Fnag Chen)

審核日期

2004-7-7

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