Channel equalization with adaptive filtering and the pre-conditioned conjugate gradient algorithm

Robert A. Soni, William Kenneth Jenkins

    Research output: Contribution to journalConference article

    4 Citations (Scopus)

    Abstract

    Communication system performance is often degraded by the imperfections of the channel. Additive noise, and actual channel characteristics can be unknown prior to transmission. Use of adaptive equalizers to compensate for these imperfections can significantly improve the performance of the overall system. For highly-correlated received sequences, convergence rate of these equalizers is a strongly limiting factor. This paper presents a novel scheme employing the use of the pre-conditioned conjugate gradient algorithm for channel equalization. Simulation examples are presented for channel equalization problems comparing performance of the LMS algorithm to the pre-conditioned conjugate gradient algorithm for algorithms which minimize the mean square error and the constant-modulus criterion.

    Original languageEnglish (US)
    Pages (from-to)2284-2287
    Number of pages4
    JournalProceedings - IEEE International Symposium on Circuits and Systems
    Volume4
    StatePublished - Jan 1 1997
    EventProceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4) - Hong Kong, Hong Kong
    Duration: Jun 9 1997Jun 12 1997

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    Adaptive filtering
    Equalizers
    Defects
    Additive noise
    Mean square error
    Communication systems

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

    Cite this

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    Channel equalization with adaptive filtering and the pre-conditioned conjugate gradient algorithm. / Soni, Robert A.; Jenkins, William Kenneth.

    In: Proceedings - IEEE International Symposium on Circuits and Systems, Vol. 4, 01.01.1997, p. 2284-2287.

    Research output: Contribution to journalConference article

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    AU - Jenkins, William Kenneth

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    AB - Communication system performance is often degraded by the imperfections of the channel. Additive noise, and actual channel characteristics can be unknown prior to transmission. Use of adaptive equalizers to compensate for these imperfections can significantly improve the performance of the overall system. For highly-correlated received sequences, convergence rate of these equalizers is a strongly limiting factor. This paper presents a novel scheme employing the use of the pre-conditioned conjugate gradient algorithm for channel equalization. Simulation examples are presented for channel equalization problems comparing performance of the LMS algorithm to the pre-conditioned conjugate gradient algorithm for algorithms which minimize the mean square error and the constant-modulus criterion.

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