Low complexity channel estimation using fuzzy Kalman Filter for fast time varying MIMO-OFDM systems

Estimation of channel is a significant issue in wireless communication. In this paper, TS fuzzy Kalman Filter based channel impulse response(CIR) estimation, for the time varying velocity of the receiver in a Multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) system is being proposed. The channel is being modeled using second order auto regressive (AR) random model. Linearization of channel estimation is done using fuzzy logic and Kalman filter is used to estimate the channel. For fast time varying channel, fuzzy based channel impulse response estimation is a low complex technique when compared to conventional filters.