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研究生: 莊凱勝
Kai-Sheng Chuang
論文名稱: 利用干擾投影法於CDMA系統中之多用戶偵測器
Multiuser Detector Using Interference Projection Method for CDMA System
指導教授: 陳文良
口試委員:
學位類別: 碩士
Master
系所名稱: 工學院 - 動力機械工程學系
Department of Power Mechanical Engineering
論文出版年: 2003
畢業學年度: 91
語文別: 英文
中文關鍵詞: 多用戶偵測器分碼多工系統
外文關鍵詞: multiuser detector, CDMA system
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  • 近幾年來,由於相較於分時多工存取系統(TDMA)有較高容量、能抵抗多重路徑之衰減等許多優點之分碼多工存取系統(CDMA)已成為一重要之通訊機制。然而,分碼多工系統中之主要缺點之一為多重存取干擾(MAI)。這是由於在此系統中,多位使用者同時在相同的頻帶上傳送訊息所造成的,通常可利用多用戶偵測器來克服此干擾。
    目前已有許多多用戶偵測器架構發表在文獻中。而本論文提出的是一新的架構—利用干擾投影法於CDMA系統之多用戶偵測器。此架構中,首先估計多重存取干擾量的大小,接著,校正接收到的訊號以改善系統的效能,最後利用電腦模擬來估算此架構的效能評比,並與其他文獻中提及的架構比較,其中包含:傳統接收機、最小均方差接收機、最佳化之最大期望值數列接收機與霍菲爾德(Hopfield)類神經網路接收機。


    Code Division Multiple Access (CDMA) has become an important access scheme in recent years because of its several advantages such as higher capacity than TDMA system, anti-multipath fading, etc.. However, one of the significant disadvantages of CDMA system is multiple access interference (MAI). This happens because of the multiple users simultaneously using the same frequency band in the CDMA system. In order to overcome the MAI problem, multiuser detector is commonly used.
    Several multiuser detection schemes have been proposed in the literatures. In this thesis, a new structure of multiuser detector using interference projection method for CDMA system is constructed. In this approach, the MAI is estimated first. Then, the received signal is modified to improve the performance of the system. The performance (bit error rate) of the proposed receiver is evaluated by computer simulations and compared with other receivers published in literatures, including conventional receiver, minimum mean square error receiver, optimum maximum-likelihood receiver and Hopfield neural network receiver.

    Abstract I Contents III List of Figures V Abbreviations VIII Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Thesis organization 3 Chapter 2 Spread spectrum and CDMA system 4 2.1 Direct sequence spread spectrum 4 2.2 CDMA system 7 2.3 System model 8 Chapter 3 Multiuser detection using interference projection method 11 3.1 Conventional receiver 11 3.2 Minimum mean square error receiver 14 3.3 Optimum maximum-likelihood receiver 17 3.4 Hopfield neural network receiver 19 3.4.1 Hopfield neural network 19 3.4.2 Multiuser detector using HNN 21 3.5 Multiuser detector using interference projection method 23 3.5.1 Training mode 23 3.5.2 Demodulation mode 25 Chapter 4 Simulation results and discussions 28 4.1 Simulation parameters 28 4.2 The estimation of the received amplitude 29 4.3 Performance of the proposed receiver 35 4.4 Performance comparisons 37 Chapter 5 Conclusions and suggestions 43 5.1 Conclusions 43 5.2 Suggestions 44 References 45 Appendix A 47

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