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In this paper, the performance of the Single-Estimation (SE) and Multiple-Estimation (ME) is investigated in Multiple-Input Multiple-Output (MIMO) Rician fading channels using the Maximum Likelihood (ML) technique and the new Shifted Scaled Least Squares (SSLS) estimator. Analytical and numerical results show that both estimators have lower error in the case of ME than SE. Moreover, it is seen that increasing the channel Rice factor improves the performance of the SSLS estimator. However, the ML estimator cannot exploit the knowledge of the Rician fading channel.
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