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

Chang-Yi Yang

Keywords

Multicarrier codedivision multiple access (MCCDMA), fuzzybased Kalman filter, autoregressive (AR) random process, decisiondirected channeltracking design.

Abstract

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.

Important Links:



Go Back