臺灣博碩士論文加值系統

本論文主要在討論以改良式LMS演算法應用於TD-SCDMA系統之智慧型天線，並對其中的一些關鍵技術提出討論，論文的主要架構如下：
在第二章中我們主要是針對TD-SCDMA的系統做一介紹並針對實體層(Physical layer)的主要功能來討論。第三章我們分析了各種的智慧型天線陣列(Smart Antenna)演算法，在考量實際系統的運作時，系統較無法提供很多的先決以知條件，運算上又要能達到及時(real time)的要求，在第四章我們用ES-LMS與CMA演算法做為改良式LMS演算法模擬智慧型天線陣列的效能，又因為LMS與RLS演算法無法提供良好的角度鑑別能力，因此選用MUSIC來做為角度鑑別之用。在第五章的部份，我們利用前一章的演算法，帶入TD-SCDMA的系統架構之中，來模擬TD-SCDMA系統在這種演算法下面的使用者角度定位鑑別追蹤能力。最後第六章做為研究的結論與建議。

The exponential step size LMS algorithm for smart antenna application has been proven with fast convergence speed than conventional LMS Algorithm. However the convergence speed is still slower than RLS algorithm. In this thesis, we propose a novel method that is using the ES-LMS algorithm with constant modulus algorithm (CMA) which can offer simple computation and fast convergence speed than normal LMS, ES-LMS, and even RLS. The LMS and CMA algorithm are both blind equalization. The multiple signal classification (MUSIC) algorithm is also employed for the DOA estimation and a classical beamforming technique to select the weights of the array elements has been used. Computer simulation is conducted under the environment of TD-SCDMA systems.

Chapter 1 Introduction.............................................................................................1
1.1 Introduction...........................................................……................…………......1
1.2 3G Symmetric Speech and Multimedia Services................................................4
1.3 Spectrum Utilization…………………………………………...……………….5
1.4 3G Asymmetric Packet Switched and Internet Services……...………………..6
Chapter 2 Physical Layer of TD-SCDMA System……………………….….9
2.1 Introduction........................................…….............................……………........9
2.2 The TD-SCDMA Frame Structure.....................................……………............10
2.3 Spreading and Modulating..................................………………………….......16
Chapter 3 The Proposed Algorithms on Smart Antenna in TD-SCDMA Systems……………………………………………..……………….21
3.1 Introduction........................................……....................……...........................21
3.2 Linearly Constrained Minimum Variance Filter.............………………..........23
3.3 Generalized Side-lobe Cancellers Beamforming Algorithm………………….27
3.4 Circular Array of Smart Antenna........................................…………..............35
3.5 Least Mean Squares Algorithm....................................................………….....39
Chapter 4 Some Algorithms Based on LMS Algorithm for Smart Antenna in TD-SCDMA systems………………………………………………45
4.1 Introduction...................................................………………............................46
4.2 LMS-Based Exponential Step Size Algorithm…………...........………….......47
4.3 Recursive Least Squares Algorithm…………………………………………..52
4.4 Godard Algorithm……………………………………………………………..58
4.5 Multiple Signal Classification Algorithm………………………………...…..63
Chapter 5 Analyze the Simulation Performance of TD-SCDMA Systems………………………………………….…………………………………..69
5.1 Introduction...................................................……………...….........................69
5.2 Angle Resolution........................................…………………...........................70
5.3 Angle Tracking………………………………………..………………………75
5.4 Angle Resolution in Multi-users………………………………………………80
Chapter 6 Conclusion..............................................................................................85
Reference.....................................................................................................................86

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