Publication Type : Conference Paper
Publisher : Institute of Electrical and Electronics Engineers Inc.,
Source : 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, Institute of Electrical and Electronics Engineers Inc., p.1771-1774 (2015)
Keywords : Channel estimation, Channel impulse response, Conventional filters, Fast time-varying channels, Frequency division multiplexing, Frequency estimation, Fuzzy filters, Fuzzy Kalman filters, Fuzzy logic, Gain control, Impulse response, Information science, Kalman filters, Local area networks, MIMO systems, MIMO-OFDM systems, Multipleinput multiple-output orthogonal frequency-division multiplexing systems (MIMO-OFDM), Orthogonal frequency division multiplexing, Time-varying velocity, Wireless communications, Wireless telecommunication systems
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2015
Abstract : 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.
Cite this Research Publication : 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.