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. © 2015 IEEE.
cited By 0; Conference of International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 ; Conference Date: 10 August 2015 Through 13 August 2015; Conference Code:115835
V. Gutta, Anand, K. K. T., Movva, T. S. V. S., Korivi, B. R., Killamsetty, S., and Sudheesh, P., “Low complexity channel estimation using fuzzy Kalman Filter for fast time varying MIMO-OFDM systems”, in 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, 2015, pp. 1771-1774.