English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 15209445      Online Users : 121
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU 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
    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  Batch processing algorithms for blind equalization using higher-order statistics

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/12516

    Title: Batch processing algorithms for blind equalization using higher-order statistics
    Authors: Chong-Yung Chi
    Ching-Yung Chen
    Chil-Horng Chen
    Chih-Chun Feng
    教師: 祁忠勇
    Date: 2003
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Relation: IEEE SIGNAL PROCESSING MAGAZINE   Volume: 20   Issue: 1   Pages: 25-49   Published: JAN 2003
    Keywords: blind equalisers
    blind source separation
    broadband networks
    channel estimation
    code division multiple access
    delay estimation
    digital filters
    diversity reception
    higher order statistics
    interference suppression
    intersymbol interference multipath channels
    multiuser detection
    radiofrequency interference
    signal processing
    spread spectrum communication
    Abstract: © 2003 Institute of Electrical and Electronics Engineers-Statistical signal processing has been one of the key technologies in the development of wireless communication systems, especially for broadband multiuser communication systems which severely suffer from intersymbol interference (ISI) and multiple access interference (MAI). This article reviews batch processing algorithms for blind equalization using higher-order statistics for mitigation of the ISI induced by single-input, single-output channels as well as of both the ISI and MAI induced by multiple-input, multiple-output channels. In particular, this article reviews the typical inverse filter criteria (IFC) based algorithm, super-exponential algorithm, and constant modulus algorithm along with their relations, performance, and improvements. Several advanced applications of these algorithms are illustrated, including blind channel estimation, simultaneous estimation of multiple time delays, signal-to-noise ratio (SNR) boost by blind maximum ratio combining, blind beamforming for source separation in multipath, and multiuser detection for direct sequence/code division multiple access (DS/CDMA) systems in multipath.
    Relation Link: http://www.ieee.org/portal/site
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/12516
    Appears in Collections:[電機工程學系] 期刊論文
    [通訊工程研究所] 期刊論文
    [電腦與通訊科技研發中心] 期刊論文

    Files in This Item:

    File Description SizeFormat
    2030157010004.pdf1570KbAdobe PDF919View/Open


    SFX Query


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback