Kalman Filter Channel Estimation Based on Comb-Type Pilot in Time-Varying Channel

In OFDM systems, time-varying channels destroy the orthogonality between sub-channels and cause interchannel interference (ICI). To compensate for this ICI, a Kalman filter based on comb-type pilot signal is proposed for channel estimation. The fast and frequency-selective fading channel is modeled as a one-order autoregressive (AR) process to reduce the complexity. Meanwhile, the result is refined using frequency-domain correlation and covariance matrix of estimation error in minimum mean-squared error sense. The simulation results show that this channel estimation method can achieve good performance