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This paper presents an algorithm for performing effective channel estimation for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems when they encounter a fast fading environment . The algorithm models the parameters to be estimated using an auto-regressive model which is implemented using Burg Method . The channel estimation is performed using an Extended Kalman Filter (EKF) . The effect of intercarrier interference (ICI) is removed by QR decomposing the channel matrix , which effectively leads to estimation of the data symbol . The channel is modeled as L-path parametric Rayleigh flat fading. The Rayleigh complex amplitudes(CA) and carrier frequency offset are jointly estimated for this channel .

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