OFDM is a promising technique for high data rate transmission and the channel estimation is very important for implementation of OFDM. In this paper, cyclic prefix (CP) can be used as a source of channel information which is originally used to reduce inter symbol interference (ISI). Based on this CP observation, we propose two cross coupled dual Kalman filters to track the channel variations without additional training sequences. One Kalman filter AR parameter estimation and another for fading channel estimation.
References
[1]
R. Steele, “Mobile radio communications,” New York: IEEE Press, 1992.
[2]
X. W. Wang and K. J. R. Liu, “Adaptive channel estimation using cyclic prefix in multicarrier system,” IEEE Communication Letters Magazines, Vol. 3, pp. 291–293, October 1999.
[3]
A. Jamoos, D. Labarre, E. Grivel, and Najim, “Two cross coupled Kalman filters for joint estimation of MC-DS- CDMA fading channels and their corresponding autoregressive parameters,” Proceedings of EUSIPCO, Antalya, Turkey, September 4–8, 2005.
[4]
M. K. Tsatsanis, G. B. Giannakis, and G. Zhou, “Estimation and equalization of fading channels with random coefficients,” Signal Process, Vol. 53, pp. 211–229, 1996.
[5]
A. Jamoos, J. Grolleau, and E. Grivel, “Kalman vs H∞ algorithms for MC-DS-CDMA channel estimation with or without a priori AR modelling,” IEEE Multicarrier Spread Spectrum, Springer Verlag, pp. 427–436, 2007.
[6]
I. R. Petersen and A. V. Savkin, “Robust Kalman filtering for signals and systems with large uncertainties,” Boston, MA: Birkh?user, 1999.
[7]
Y. Li, L. J. Cimini, and N. R. Sollenberger, “Robust channel estimation for OFDM systems with rapid dispersive fading channels,” IEEE Transactions on Communications, Vol. 46, pp. 902–915, July 1998.
