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This paper addresses the problem of channel estimation for MIMO OFDM systems where the channels may be spatially correlated. Starting from OFDM transmission model with independent MIMO channels, we derive a new state-space model that accounts for spatial correlation at transmitter and receiver antenna arrays. Kalman filter is then applied to estimate and track the time-varying channels. Correlation parameters are also estimated from the received data.