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- W2152868099 abstract "In this paper, we present a framework for evaluating the bit error probability of N/sub d/-branch diversity combining in the presence of non-ideal channel estimates. The estimator structure presented is based on the maximum-likelihood (ML) estimate and arises naturally as the sample mean of N/sub p/ pilot symbols. The framework presented requires only the evaluation of a single integral involving the moment generating function of the norm square of the channel-gain vector, and is applicable to channels with arbitrary distribution, including correlated fading. Our analytical results show that the practical ML channel estimator preserves the diversity order of an N/sub d/-branch diversity system, contrary to conclusions in the literature based upon a model that assumes a fixed correlation between the channel and its estimate. Finally, we investigate the asymptotic signal-to-noise ratio penalty due to estimation error and reveal a surprising lack of dependence on the number of diversity branches." @default.
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- W2152868099 date "2005-07-01" @default.
- W2152868099 modified "2023-09-24" @default.
- W2152868099 title "Diversity with practical channel estimation" @default.
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- W2152868099 doi "https://doi.org/10.1109/twc.2005.852127" @default.
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