International Journal of Communications, Network and System Sciences

Volume 2, Issue 9 (December 2009)

ISSN Print: 1913-3715   ISSN Online: 1913-3723

Google-based Impact Factor: 0.66  Citations  h5-index & Ranking

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

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DOI: 10.4236/ijcns.2009.29099    6,552 Downloads   12,126 Views  Citations

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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.

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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.

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