National Tsing Hua University Institutional Repository:Blind MAI and ISI suppression for DS/CDMA systems using HOS-based inverse filter criteria
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    NTHUR > College of Electrical Engineering and Computer Science > Department of Electrical Engineering > EE Journal / Magazine Articles  >  Blind MAI and ISI suppression for DS/CDMA systems using HOS-based inverse filter criteria


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/12506


    Title: Blind MAI and ISI suppression for DS/CDMA systems using HOS-based inverse filter criteria
    Authors: Chi, Chong-Yung
    Chen, Chii-Horng
    Chen, Ching-Yung
    Teacher: 祁忠勇
    Date: 2002
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Relation: IEEE TRANSACTIONS ON SIGNAL PROCESSING Volume: 50 Issue: 6 Pages: 1368-1381 Published: JUN 2002
    Keywords: MIMO systems
    blind equalisers
    code division multiple access
    deconvolution
    filtering theory
    higher order statistics
    interference suppression
    intersymbol interference
    inverse problems
    matched filters
    multipath channels
    multiuser channels
    spread spectrum communication
    Abstract: © 2002 Institute of Electrical and Electronics Engineers-Cumulant-based inverse filter criteria (IFC) using second- and higher order statistics (HOS) proposed by Tugnait et al. have been widely used for blind deconvolution of discrete-time multi-input multi-output (MIMO) linear time-invariant systems with non-Gaussian measurements through a multistage successive cancellation procedure, but the deconvolved signals turn out to be an unknown permutation of the driving inputs. In this paper, a multistage blind equalization algorithm (MBEA) is proposed for multiple access interference (MAI) and intersymbol interference (ISI) suppression of multiuser direct sequence/code division multiple access (DS/CDMA) systems in the presence of multipath. The proposed MBEA, which processes the chip waveform matched filter output signal without requiring any path delay information, includes blind deconvolution processing using IFC followed by identification of the estimated symbol sequence with the associated user through using a user identification algorithm (UIA). Then, some simulation results are presented to support the proposed MBEA and UIA. Finally, some conclusions are drawn.
    Relation Link: http://www.ieee.org/portal/site
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/12506
    Appears in Collections:[Department of Electrical Engineering] EE Journal / Magazine Articles
    [Institute of Communications Engineering] COM Journal / Magazine Articles
    [Computer and Communication Research Center ] CCRC Journal / Magazine Articles

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