Time-Varying Multipath Fading Channel Estimation for MC-CDMA Systems via a Fuzzy Method

Chang-Yi Yang


Multicarrier code-division multiple access (MC-CDMA), fuzzy-based Kalman filter, autoregressive (AR) random process, decision-directed channel-tracking design.


A fuzzy-based Kalman filter is proposed for time-varying multipath fading channel in a multicarrier code-division multiple access (MC-CDMA) system. The radio channel is modeled as an autoregressive random process. The parameters of the AR process and the channel gain are simultaneously estimated. One-step ahead prediction can also be obtained during the channel estimation. It is useful for the decision-directed channel-tracking design, especially in the fast fading channel. Simulation results demonstrate that the proposed method can track the channel more accurately than the conventional channel estimators.

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