Adaptive Channel Estimation in OFDM System Using  Cyclic Prefix (Kalman Filter Approach)

P. V. NAGANJANEYULU; K. SATYA PRASAD

doi:10.4236/ijcns.2009.29099

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International Journal of Communications,... > Vol.2 No.9, December 2009

Adaptive Channel Estimation in OFDM System Using Cyclic Prefix (Kalman Filter Approach) ()

P. V. NAGANJANEYULU, K. SATYA PRASAD

DOI: 10.4236/ijcns.2009.29099 PDF HTML 6,070 Downloads 10,961 Views Citations

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

Share and Cite:

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.

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