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This paper presents a least square based semi-blind channel estimation using the new orthogonal pilot scheme for multiple-input multiple-output (MIMO) wireless communications. In practice, knowledge of the wireless unknown channel is often estimated by sending known training symbols to the receiver. We determine the optimal training sequence aiming to minimize the mean square error (MSE) of the channel...
The hybrid schemes for channel estimation are considered as the flexible structure satisfying demand of high data rate transmission in the multiple-input multiple-output (MIMO) technique. Generally, the training-based least square (LS) algorithm is chosen in wide applications from the first generation wireless network to the newest one of MIMO. For resolving the bandwidth efficiency problem, we can...
The problem of channel estimation for spatially correlated fading multiple-input multiple-output (MIMO) systems is considered. Based on the channel's second order statistic, the minimum mean-square error (MMSE) channel estimator that works with the superimposed training signal is first developed. The problem of designing the optimal superimposed signal is then addressed and solved with an iterative...
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