Publication Type : Journal Article
Publisher : World Scientific and Engineering Academy and Society (WSEAS),
Source : Proceedings of the 12th international conference on Networking, VLSI and signal processing, World Scientific and Engineering Academy and Society (WSEAS), p.283–287 (2010)
Campus : Coimbatore
School : School of Engineering
Center : Electronics Communication and Instrumentation Forum (ECIF)
Department : Electronics and Communication
Year : 2010
Abstract : 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.
Cite this Research Publication : 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.