Estimating the fading coefficient in mobile OFDM systems using state-space model

In this paper the problem of estimating the fading coefficient in OFDM systems is addressed. Our approach is based on building a state-space model for the OFDM transmission that allows the estimation of the fading coefficient from the received pilot data. A Kalman filter is then applied to estimate and track the time-varying channels in the frequency domain. Our simulations show that reliable channel estimation can be performed under realistic conditions.

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