English  |  正體中文  |  简体中文  |  Items with full text/Total items : 69561/69561 (100%)
Visitors : 23722604      Online Users : 805
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/8050


    Title: 正交分頻多工系統中之方位角估測及應用在接收器之設計;An Angle of Arrival Estimation Algorithm for OFDM Systems and Applications to Receiver Designs
    Authors: 曾凡碩;Fan-Shuo Zeng
    Contributors: 通訊工程研究所
    Keywords: 正交分頻多工系統;方位角估測;接收機之設計;OFDM;receiver design;AOA;DOA
    Date: 2004-06-14
    Issue Date: 2009-09-22 11:16:48 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 此篇論文提供一個存在強干擾信號的正交分頻多工系統中估測信號多重路徑到達角度的方法,此方法主要是以特徵分解的方式來建構信號空間給估測角度演算法來偵測角度,然後我們將此角度估測結果應用於廣義天線旁瓣消除器(GSC)接收器的設計。在此所提供的接收器與最小均方錯誤接收器比較,可得其並不需要知道使用者的訓練序列(training sequence),如此可以增加資料輸出量,這是因為廣義天線旁瓣消除器接收器用到達方位角估測的資訊來取代訓練序列。而且我們使用多級威能濾波器(MSWF)運用在廣義天線旁瓣消除器上來增加追蹤能力和減少運算複雜度,並且在信號進入廣義天線旁瓣消除器接收器前提供一個信號處理的機制來增加接收效能。我們可從電腦模擬結果得知上述的方法所得到的效能結果。 This thesis proposed an eigenanalysis-based method for constructing signal space to estimate Angle-Of-Arrival in OFDM communication systems. After DOA estimation, we use the application as the constraints of the GSC receiver. The proposed receiver doesn't need user's training sequence compared to MMSE receiver that decrease data throughput. This is because that the GSC receiver utilizes the DOA estimation to replace the information of the training data. And then we use the MSWF which is one of the reduced rank filters to the GSC to increase tracking ability and reduce the computation complexity. Moreover, processing the signal before applying the signal vector to GSC is superior to none of pre-processing scheme. The performance results indicate that proposed method outperforms the Generalized Sidelobe Cancelers (GSC) with classical Weiner filter under less observation data. We can see the performance results by simulations.
    Appears in Collections:[通訊工程研究所] 博碩士論文

    Files in This Item:

    File SizeFormat


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明