Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
V. Kafedziski , Dept. of Electr. Eng., Arizona Univ., Tucson, AZ, USA
D. Morrell , Dept. of Electr. Eng., Arizona Univ., Tucson, AZ, USA
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.<
adaptive equalisers, fading, multipath channels, land mobile radio, FIR filters, state-space methods, transient response, Kalman filters, maximum likelihood estimation, autoregressive processes
V. Kafedziski and D. Morrell, "Optimal adaptive equalization of multipath fading channels," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1443-1447.