Linear minimum mean square error estimators applied to channel equalization

A. Cantoni, P. Butler

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    This concise paper investigates various aspects of the application of unbiased linear minimum mean-square error (ULMMSE) estimators to the equalization of channels used for digital data transmission. One application is to the equalization of the channel to a response free from intersymbol interference. Previous results regarding this application are clarified and extended. The other application is to the equalization of the channel to a finite short memory response. This stems from an interest in reducing the complexity of the Viterbi algorithm. Various new results on the optimum ULMMSE equalizer and its performance are presented. In both applications, the optimum ULMMSE equalizer is a stable realizable, finite dimensional recursive filter.

    Original languageEnglish
    Pages (from-to)441-446
    Number of pages6
    JournalIEEE Transactions on Communications
    Volume25
    Issue number4
    DOIs
    Publication statusPublished - 1 Jan 1977

    Fingerprint

    Mean square error
    Equalizers
    Viterbi algorithm
    Intersymbol interference
    Data communication systems
    Data storage equipment

    Cite this

    @article{66cb9549e6aa4a2a9842dd1f6a523f43,
    title = "Linear minimum mean square error estimators applied to channel equalization",
    abstract = "This concise paper investigates various aspects of the application of unbiased linear minimum mean-square error (ULMMSE) estimators to the equalization of channels used for digital data transmission. One application is to the equalization of the channel to a response free from intersymbol interference. Previous results regarding this application are clarified and extended. The other application is to the equalization of the channel to a finite short memory response. This stems from an interest in reducing the complexity of the Viterbi algorithm. Various new results on the optimum ULMMSE equalizer and its performance are presented. In both applications, the optimum ULMMSE equalizer is a stable realizable, finite dimensional recursive filter.",
    author = "A. Cantoni and P. Butler",
    year = "1977",
    month = "1",
    day = "1",
    doi = "10.1109/TCOM.1977.1093836",
    language = "English",
    volume = "25",
    pages = "441--446",
    journal = "IEEE Transactions on Communications",
    issn = "0090-6778",
    publisher = "Wiley-IEEE Press",
    number = "4",

    }

    Linear minimum mean square error estimators applied to channel equalization. / Cantoni, A.; Butler, P.

    In: IEEE Transactions on Communications, Vol. 25, No. 4, 01.01.1977, p. 441-446.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Linear minimum mean square error estimators applied to channel equalization

    AU - Cantoni, A.

    AU - Butler, P.

    PY - 1977/1/1

    Y1 - 1977/1/1

    N2 - This concise paper investigates various aspects of the application of unbiased linear minimum mean-square error (ULMMSE) estimators to the equalization of channels used for digital data transmission. One application is to the equalization of the channel to a response free from intersymbol interference. Previous results regarding this application are clarified and extended. The other application is to the equalization of the channel to a finite short memory response. This stems from an interest in reducing the complexity of the Viterbi algorithm. Various new results on the optimum ULMMSE equalizer and its performance are presented. In both applications, the optimum ULMMSE equalizer is a stable realizable, finite dimensional recursive filter.

    AB - This concise paper investigates various aspects of the application of unbiased linear minimum mean-square error (ULMMSE) estimators to the equalization of channels used for digital data transmission. One application is to the equalization of the channel to a response free from intersymbol interference. Previous results regarding this application are clarified and extended. The other application is to the equalization of the channel to a finite short memory response. This stems from an interest in reducing the complexity of the Viterbi algorithm. Various new results on the optimum ULMMSE equalizer and its performance are presented. In both applications, the optimum ULMMSE equalizer is a stable realizable, finite dimensional recursive filter.

    UR - http://www.scopus.com/inward/record.url?scp=0017480798&partnerID=8YFLogxK

    U2 - 10.1109/TCOM.1977.1093836

    DO - 10.1109/TCOM.1977.1093836

    M3 - Article

    VL - 25

    SP - 441

    EP - 446

    JO - IEEE Transactions on Communications

    JF - IEEE Transactions on Communications

    SN - 0090-6778

    IS - 4

    ER -