Bit-error probability for an adaptive diversity receiver in a Rayleigh-fading channel

Veli-Pekka Kaasila, Aarne Mämmelä

    Research output: Contribution to journalArticleScientificpeer-review

    6 Citations (Scopus)

    Abstract

    The bit-error probability is determined for a binary antipodal diversity system with an adaptive receiver using decision-directed channel estimation. The diversity channels are assumed to be nonselective Rayleigh-fading channels with additive white Gaussian noise (AWGN).
    The analysis is valid for all linear estimators which use a finite-impulse-response (FIR)-type estimation filter.
    Numerical results are presented for a minimum mean-square error (MMSE) filter and a moving average (MA) filter.
    Original languageEnglish
    Pages (from-to)1106-1108
    JournalIEEE Transactions on Communications
    Volume46
    Issue number9
    DOIs
    Publication statusPublished - 1998
    MoE publication typeA1 Journal article-refereed

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    Rayleigh fading
    Channel estimation
    Impulse response
    Mean square error
    Fading channels
    Error probability

    Cite this

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    abstract = "The bit-error probability is determined for a binary antipodal diversity system with an adaptive receiver using decision-directed channel estimation. The diversity channels are assumed to be nonselective Rayleigh-fading channels with additive white Gaussian noise (AWGN). The analysis is valid for all linear estimators which use a finite-impulse-response (FIR)-type estimation filter. Numerical results are presented for a minimum mean-square error (MMSE) filter and a moving average (MA) filter.",
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    year = "1998",
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    Bit-error probability for an adaptive diversity receiver in a Rayleigh-fading channel. / Kaasila, Veli-Pekka; Mämmelä, Aarne.

    In: IEEE Transactions on Communications, Vol. 46, No. 9, 1998, p. 1106-1108.

    Research output: Contribution to journalArticleScientificpeer-review

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    AU - Mämmelä, Aarne

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    AB - The bit-error probability is determined for a binary antipodal diversity system with an adaptive receiver using decision-directed channel estimation. The diversity channels are assumed to be nonselective Rayleigh-fading channels with additive white Gaussian noise (AWGN). The analysis is valid for all linear estimators which use a finite-impulse-response (FIR)-type estimation filter. Numerical results are presented for a minimum mean-square error (MMSE) filter and a moving average (MA) filter.

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    JF - IEEE Transactions on Communications

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