Abstract
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.
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