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has been cited by the following article:

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

  AUTHORS: P. V. NAGANJANEYULU, K. SATYA PRASAD

  KEYWORDS: Cyclic Prefix, Kalman Filter

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.2 No.9, December 21, 2009

  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.