在本論文研究中我們提出以溫納(Wiener)解的智慧型天線演算法來抑制部分干擾用戶的干擾，接著以後置檢測處理智慧型天線演算法中因為用戶遠近效應(near-far effect)或是空間技術無法處理的其他干擾用戶，而後置檢測是以多用戶檢測的演算方式來消除這些殘存的多重存取干擾(Multiple Access Interference, MAI)之影響。在我們所提出的檢測演算法裡，利用了所需訊號與接收訊號的互相關矩陣來得到多用戶檢測演算矩陣並且可以降低整體演算法的複雜度。因此根據電腦模擬並與傳統智慧型天線或多用戶檢測演算法比較，可以證實我們所提出的檢測方式能夠提供較佳的檢測誤碼率(Bit Error Rate, BER)以及較低的計算複雜度。此外本論文也針對檢測誤碼率以及複雜度做詳細的分析，以提供更完整的討論。

Smart antenna, which weights are obtained by Wiener solution, would suppress some undesired interference signals in spatial domain. The other interference signals that cannot be suppressed by smart antenna or caused by near-far effect will be post-processed by multiuser detectors. In the proposed algorithm, the cross-correlation matrix of desired signal and received signal from smart antenna algorithm would be applied to multiuser detector to reduce the complexity. From computer simulation results, the proposed algorithm has lower complexity and better BER performance than separate smart antenna or multiuser detection algorithms. Detail derivations of complexity and BER performance are also provided in this thesis.

誌 謝
中文摘要
英文摘要
目 錄
圖 索 引
表 索 引
第一章 簡介
1-1 文獻探討
1-2 研究動機
第二章 分碼多重進接系統與多用戶檢測技術的介紹
2-1 分碼多重進接系統模型與傳統檢測方式
2-1-1 分碼多重進接系統
2-1-2 傳統單用戶的匹配濾波器
2-2 目前多用戶檢測技術的分類及介紹
2-2-1 最佳多用戶檢測
2-2-2 線性多用戶檢測以及干擾消除法檢測
2-3 目前結合智慧型天線與多用戶檢測演算法的介紹
2-3-1 智慧型天線演算法
2-3-2 組合智慧型天線與多用戶干擾消除檢測技術
2-3-3 組合智慧型天線與線性多用戶檢測技術
第三章 天線權值資訊結合智慧型天線與多用戶檢測之設計
3-1 天線陣列的接收端訊號模型
3-2 溫納濾波器的方式實行智慧型天線演算法
3-2-1 互相關矩陣的分析與天線處理後之權值處理響應
3-2-2 權值處理響應設定門限值篩選用戶
3-3 後置檢測器的演算
3-3-1 利用智慧型天線的權值得到後置檢測的演算法
3-3-2 整體檢測系統的架構
3-3-3 檢測性能的分析
3-3-4 權衡檢測性能與複雜度之門限值設定方法
第四章 電腦模擬與比較
4-1 模擬條件的設定
4-2 與傳統單獨技術演算法的比較
4-2-1 與最小均方差多用戶檢測的比較
4-2-2 與傳統智慧型天線演算法的比較
4-3 與傳統組合技術演算法的比較
4-3-1 與切換性波束組合解相關多用戶檢測的比較
4-3-2 與適應性陣列組合干擾消除多用戶檢測的比較
4-3-3 在不同用戶數目下各種組合技術演算法的檢測性能比較
4-4 比較結果的整理與總結
第五章 結論與未來展望
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