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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  Robust H-infinity and mixed H-2/H-infinity filters for equalization designs of nonlinear communication systems: Fuzzy interpolation approach


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/12032


    Title: Robust H-infinity and mixed H-2/H-infinity filters for equalization designs of nonlinear communication systems: Fuzzy interpolation approach
    Authors: Chen BS
    Tsai CL
    Chen DS
    教師: 陳博現
    Date: 2003
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Relation: IEEE TRANSACTIONS ON FUZZY SYSTEMS   Volume: 11   Issue: 3   Pages: 384-398   Published: JUN 2003
    Keywords: fuzzy filtering
    H-infinity filter
    mixed H-2/H-infinity filter
    nonlinear detection
    nonlinear equalization
    Abstract: Generally, it is difficult to design equalizers for signal reconstruction of nonlinear communication channels with uncertain noises. In this paper, we propose the H. and mixed H2Hinfinity. fitters for equalization/detection of nonlinear channels using fuzzy interpolation and linear matrix inequality (LMI) techniques. First, the signal transmission system is described as a state-space model and the input signal is embedded in the state vector such that the signal reconstruction (estimation) design becomes a nonlinear state estimation problem. Then, the Takagi-Sugeno fuzzy linear model is applied to interpolate the nonlinear channel at different operation points through membership functions. Since the statistics of noises are unknown, the fuzzy H-infinity equalizer is proposed to treat the state estimation problem from the worst case (robust) point of view. When the statistics of noises, are uncertain but with some nominal (or average) information available, the mixed H-2/H-infinity. equalizer is employed to take the advantage of both H-2 optimal performance with nominal statistics of noises and the H. robustness performance against the statistical uncertainty of noises. Using the LMI approach, the fuzzy H-2 / H-infinity equalizer/detector design problem is characterized as an eigenvalue problem (EVP). The EVP can be solved efficiently with convex optimization techniques.
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/12032
    Appears in Collections:[電機工程學系] 期刊論文
    [通訊工程研究所] 期刊論文

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