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In modern wireless systems employing diversity techniques, combining all the available diversity branches may not be feasible due to complexity and resource constraints. To alleviate these issues, SubSet Diversity (SSD) systems have been proposed. Here, the authors develop a framework for evaluating the symbol error probability for antenna SSD, where the signals from a subset of antenna elements are selected and combined in the presence of channel estimation error. They consider independent identically distributed Rayleigh fading channels and use an estimator structure based on the Maximum Likelihood (ML) estimate which arises naturally as the sample mean of Np pilot symbols.
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