English  |  正體中文  |  简体中文  |  Items with full text/Total items : 69561/69561 (100%)
Visitors : 23070296      Online Users : 387
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/987654321/78631


    Title: 非線性濾波束波成型技術之干擾訊號消除法;Beamforming Methods of Nonlinear Filtering for Interference Signal Cancellation
    Authors: 張大中
    Contributors: 國立中央大學通訊工程系
    Keywords: 天線波束形成;干擾消除;卡爾曼濾波器;角度追蹤;Beamforming;Interference Cancellation;Kalman Filter;DOA Tracking
    Date: 2018-12-19
    Issue Date: 2018-12-20 12:08:32 (UTC+8)
    Publisher: 科技部
    Abstract: 智慧型天線波束形成技術利用廣義旁帶消除器(Generalized Sidelobe Canceller, GSC)將限制最佳化問題轉為等效的無限制問題,讓想要接收的訊號能獲得最大的增益並盡可能去壓抑干擾訊號。由於GSC 系統對於入射角度預測誤差造的相位誤差很敏感,本計畫利用狀態估測的方式,研究三種非線性可適性演算法: 延展型卡爾曼濾波器 (Extented Kalman Filter)、非察覺型卡爾曼濾波器 (Unscented Kalman Filter)、及粒子濾波器 (Particle Filter),利用所設計的決策回授GSC 系統透過可適性的方法解決預測訊號入射角度誤差所造成的影響。另外,由於可對狀態預測訊號角度作追蹤,所以當訊號源是移動性的情況下,同樣能使系統因相位誤差的影響降低。為了驗證我們所提出新的方法,本計畫將會模擬分析系統的SINR 性能。 ;The beamforming technology can be used to cancel interference signals coming from different incident angles for a uniform linear antenna array. Some beamforming techniques have been well developed, in which the generalized sidelobe canceller (GSC) can adaptively adjust the beamforming pattern for the desired signal to obtain maximum signal-to-interference-plus-noise ratio (SINR) and actually, it converts a constrained optimization beamforming problem into an un-constrainted one. Nevertheless, the GSC technique is very sensitive to the direction-of-arrival (DOA) mismatch of the desired signal. In this proposal, we model the DOA mismatch or moreover, the DOA change due to a moving source, into the GSC structure. Using the state-space formulation, three nonlinear filtering algorithms, i.e., the extended Kalman filter, the unscented Kalman filter, and the particle filter, will be developed and compared to solve the DOA mismatch problem in a decision feedback (DF) GSC beamforming structure. The actual DOA information is estimated by proposed algorithms and is provided to the GSC for improving SINR. System SINR and transmission performance will be explored in this project to study the proposed method.
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[通訊工程學系] 研究計畫

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML113View/Open


    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