In this paper, a communication system using Orthogonal Frequency Division Multiple Access (OFDMA) is implemented. An iterative Kalman filtering algorithm for
estimation of the time-variant Rayleigh fast fading channel is proposed. The Rayleigh channel is approximated to be a Jakes process which is modelled using an autoregressive model. An autoregressive (AR) channel model is used to provide the state space estimates necessary for Kalman filter based channel estimation.
B. Balakrishnan, Geethu, T. K., Govindankutty, N., Pradeep, P., Karnani, V., Dr. Kirthiga S., and Dr. Jayakumar M., “Discrete state space channel modeling and channel estimation using Kalman filter for OFDMA systems”, Proceedings of the 12th international conference on Networking, VLSI and signal processing, pp. 283–287, 2010.