Analytical Approach for Channel Estimation in OFDM System Based on Kalman Filtering
Orthogonal Frequency Division Multiplexing (OFDM) is one of the multicarrier modulation schemes which modulate multiple carriers simultaneously. In this paper, Kalman and Wiener filtering is used for Multiple-Input-Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) channel estimation. The channel estimation is done using Least Square (LS) estimation. The Kalman and Wiener filtering estimation is based on estimation and prediction values. The proposed estimator outperforms the existing estimators in terms of Mean Square Error (MSE) and Signal to Noise Ratio (SNR). Finally, the performance is analyzed with the help of simulation results.
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