Abstract
This paper proposes an efficient scheme to track the time variant channel induced by multipath fading wireless Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system in mobility environment with the presence of Gaussian noise. The estimation of the time varying multipath fading channel is performed by using a nonlinear channel estimator based on a complex Multiple Support Vector Machines Regression (M-SVR) which is developed and applied to MIMO Long Term Evolution (LTE) Downlink with Alamouti coding. The obtained results confirm the effectiveness of the proposed technique to track the fading channel compared to the conventional Least Squares (LS), Minimum Mean Squares Error (MMSE) and Decision Feedback methods.
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