Optimal adaptive equalization of multipath fading channels

In this paper, we investigate optimal channel equalization techniques that incorporate a priori statistical information about multipath fading channels for mobile radio. We use a transformation from a physical ray model to a discrete-time finite impulse response model, along with statistical assumptions about the ray paths, to obtain a state-space model of the time evolution of the channel impulse response. This model as used with the Kalman filter to develop optimal channel estimators. We also implemented these estimators in a blind equalization scheme, based on MAP symbol-by-symbol detector. We present simulation results that characterize the performance of the proposed channel estimator and blind equalizer