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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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Kafedziski et al. (2002) studied this question.
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