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IJCNS> Vol.2 No.9, December 2009
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Adaptive Channel Estimation in OFDM System Using Cyclic Prefix (Kalman Filter Approach)

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DOI: 10.4236/ijcns.2009.29099    5,923 Downloads   10,781 Views   Citations
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P. V. NAGANJANEYULU, K. SATYA PRASAD

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ABSTRACT

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.

KEYWORDS

Cyclic Prefix, Kalman Filter

Cite this paper

P. V. NAGANJANEYULU and K. SATYA PRASAD, "Adaptive Channel Estimation in OFDM System Using Cyclic Prefix (Kalman Filter Approach)," International Journal of Communications, Network and System Sciences, Vol. 2 No. 9, 2009, pp. 852-856. doi: 10.4236/ijcns.2009.29099.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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[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.

  
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